Publications

Authors:

ALLBestagini

Type:

ALLJournal/magazine articlePaper in conference proceedings

2024

• D. Salvi, T. S. B., P. Bestagini, and S. Tubaro, “Listening Between the Lines: Synthetic Speech Detection Disregarding Verbal Content,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Workshop, 2024.
  [Bibtex]

  @InProceedings{salvi2024listening,
  author = {Salvi, D. and S. B., Temesgen and Bestagini, P. and Tubaro, S.},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Workshop},
  title = {Listening Between the Lines: Synthetic Speech Detection Disregarding Verbal Content},
  year = {2024},
  groups = {forensics},
  }

• D. U. Leonzio, P. Bestagini, M. Marcon, G. P. Quarta, and S. Tubaro, “Water Leak Detection via Domain Adaptation,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
  [Bibtex]

  @InProceedings{leonzio2024water,
  author = {Leonzio, Daniele Ugo and Bestagini, Paolo and Marcon, Marco and Quarta, Gian Paolo and Tubaro, Stefano},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  title = {Water Leak Detection via Domain Adaptation},
  year = {2024},
  doi = {10.1109/ICASSP48485.2024.10447165},
  groups = {water},
  keywords = {Accelerometers;Echo sounders;Transfer learning;Supervised learning;Signal processing algorithms;Feature extraction;Vectors;Domain adaptation;leak detection;water leak},
  }

• A. K. Singh Yadav, K. Bhagtani, S. Baireddy, P. Bestagini, S. Tubaro, and E. J. Delp, “Mdrt: Multi-Domain Synthetic Speech Localization,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
  [Bibtex]

  @InProceedings{singhyadav2024mdrt,
  author = {Singh Yadav, Amit Kumar and Bhagtani, Kratika and Baireddy, Sriram and Bestagini, Paolo and Tubaro, Stefano and Delp, Edward J.},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  title = {Mdrt: Multi-Domain Synthetic Speech Localization},
  year = {2024},
  doi = {10.1109/ICASSP48485.2024.10446471},
  groups = {forensics},
  keywords = {Location awareness;Neural networks;Finance;Transformers;Acoustics;Fraud;Speech synthesis;Synthetic speech localization;speech forensics;deepfake speech;PartialSpoof;anti-spoofing},
  }

• E. D. Cannas, P. Beaus, P. Bestagini, F. Marques, and S. Tubaro, “A One-Class Approach to Detect Super-Resolution Satellite Imagery with Spectral Features,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
  [Bibtex]

  @InProceedings{cannas2024one,
  author = {Cannas, E. D. and Beaus, P. and Bestagini, P. and Marques, F. and Tubaro, S.},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  title = {A One-Class Approach to Detect Super-Resolution Satellite Imagery with Spectral Features},
  year = {2024},
  doi = {10.1109/ICASSP48485.2024.10446619},
  groups = {forensics},
  keywords = {Training;Image coding;Pipelines;Superresolution;Signal processing algorithms;Feature extraction;Satellite images;Image super-resolution;image forensics;CNNs;satellite imagery},
  }

2023

• D. Salvi, H. Liu, S. Mandelli, P. Bestagini, W. Zhou, W. Zhang, and S. Tubaro, “A Robust Approach to Multimodal Deepfake Detection,” Journal of Imaging, vol. 9, iss. 6, 2023.
  [Bibtex]

  @Article{salvi2023robust,
  author = {Salvi, Davide and Liu, Honggu and Mandelli, Sara and Bestagini, Paolo and Zhou, Wenbo and Zhang, Weiming and Tubaro, Stefano},
  journal = {Journal of Imaging},
  title = {A Robust Approach to Multimodal Deepfake Detection},
  year = {2023},
  doi = {10.3390/jimaging9060122},
  number = {6},
  url = {https://www.mdpi.com/2313-433X/9/6/122},
  volume = {9},
  groups = {forensics},
  }

• D. Salvi, M. Pezzoli, S. Mandelli, P. Bestagini, and S. Tubaro, “Are you Really Alone? Detecting the use of Speech Separation Techniques on Audio Recordings,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2023, pp. 1-6.
  [Bibtex]

  @InProceedings{salvi2023are,
  author = {Salvi, Davide and Pezzoli, Mirco and Mandelli, Sara and Bestagini, Paolo and Tubaro, Stefano},
  booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)},
  title = {Are you Really Alone? Detecting the use of Speech Separation Techniques on Audio Recordings},
  year = {2023},
  doi = {10.1109/WIFS58808.2023.10374717},
  pages = {1-6},
  groups = {audio, forensics},
  keywords = {Training;Fourier transforms;Forensics;Detectors;Media;Audio recording;Signal representation;Forensics;Audio;Speech;Speech Separation},
  }

• D. Salvi, P. Bestagini, and S. Tubaro, “Reliability Estimation for Synthetic Speech Detection,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023.
  [Bibtex]

  @InProceedings{salvi2023reliability,
  author = {Salvi, Davide and Bestagini, Paolo and Tubaro, Stefano},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  title = {Reliability Estimation for Synthetic Speech Detection},
  year = {2023},
  doi = {10.1109/ICASSP49357.2023.10095524},
  groups = {audio, forensics},
  keywords = {Training;Deepfakes;Forensics;Estimation;Detectors;Signal processing;Reliability;Audio Forensics;Speech;Deepfake;Reliability},
  }

• D. Salvi, B. Hosler, P. Bestagini, M. C. Stamm, and S. Tubaro, “TIMIT-TTS: A Text-to-Speech Dataset for Multimodal Synthetic Media Detection,” IEEE Access, vol. 11, pp. 50851-50866, 2023.
  [Bibtex]

  @Article{salvi2023timit,
  author = {Salvi, Davide and Hosler, Brian and Bestagini, Paolo and Stamm, Matthew C. and Tubaro, Stefano},
  journal = {IEEE Access},
  title = {TIMIT-TTS: A Text-to-Speech Dataset for Multimodal Synthetic Media Detection},
  year = {2023},
  date = {2023},
  doi = {10.1109/ACCESS.2023.3276480},
  pages = {50851-50866},
  volume = {11},
  groups = {audio, forensics},
  keywords = {Deepfakes;Detectors;Audio systems;Speech synthesis;Media;Forensics;Visualization;Audio;multimodal;deepfake;forensics;synthetic speech;text-to-speech;TIMIT},
  }

• D. Salvi, P. Bestagini, and S. Tubaro, “Towards Frequency Band Explainability in Synthetic Speech Detection,” in European Signal Processing Conference (EUSIPCO), 2023.
  [Bibtex]

  @InProceedings{salvi2023towards,
  author = {Salvi, Davide and Bestagini, Paolo and Tubaro, Stefano},
  booktitle = {European Signal Processing Conference (EUSIPCO)},
  title = {Towards Frequency Band Explainability in Synthetic Speech Detection},
  year = {2023},
  doi = {10.23919/EUSIPCO58844.2023.10289804},
  groups = {audio, forensics},
  }

• D. Salvi, P. Bestagini, and S. Tubaro, “Synthetic Speech Detection through Audio Folding,” in ACM International Workshop on Multimedia AI against Disinformation, 2023.
  [Bibtex]

  @InProceedings{salvi2023synthetic,
  author = {Salvi, Davide and Bestagini, Paolo and Tubaro, Stefano},
  booktitle = {ACM International Workshop on Multimedia AI against Disinformation},
  title = {Synthetic Speech Detection through Audio Folding},
  year = {2023},
  doi = {10.1145/3592572.3592844},
  publisher = {Association for Computing Machinery},
  series = {MAD '23},
  url = {https://doi.org/10.1145/3592572.3592844},
  groups = {audio, forensics},
  }

• A. K. Singh Yadav, K. Bhagtani, Z. Xiang, P. Bestagini, S. Tubaro, and E. J. Delp, “DSVAE: Disentangled Representation Learning for Synthetic Speech Detection,” in International Conference on Machine Learning and Applications (ICMLA), 2023, pp. 472-479.
  [Bibtex]

  @InProceedings{singhyadav2023dsvae,
  author = {Singh Yadav, Amit Kumar and Bhagtani, Kratika and Xiang, Ziyue and Bestagini, Paolo and Tubaro, Stefano and Delp, Edward J.},
  booktitle = {International Conference on Machine Learning and Applications (ICMLA)},
  title = {{DSVAE}: Disentangled Representation Learning for Synthetic Speech Detection},
  year = {2023},
  doi = {10.1109/ICMLA58977.2023.00072},
  pages = {472-479},
  groups = {forensics, audio},
  keywords = {Representation learning;Deep learning;Visualization;Synthesizers;Finance;Detectors;Fraud;disentangled representation learning;synthetic speech detection;explainable AI;autoencoder},
  }

• A. K. Singh Yadav, Z. Xiang, K. Bhagtani, P. Bestagini, S. Tubaro, and E. J. Delp, “PS3DT: Synthetic Speech Detection Using Patched Spectrogram Transformer,” in International Conference on Machine Learning and Applications (ICMLA), 2023, pp. 496-503.
  [Bibtex]

  @InProceedings{singhyadav2023ps3dt,
  author = {Singh Yadav, Amit Kumar and Xiang, Ziyue and Bhagtani, Kratika and Bestagini, Paolo and Tubaro, Stefano and Delp, Edward J.},
  booktitle = {International Conference on Machine Learning and Applications (ICMLA)},
  title = {{PS3DT}: Synthetic Speech Detection Using Patched Spectrogram Transformer},
  year = {2023},
  doi = {10.1109/ICMLA58977.2023.00075},
  pages = {496-503},
  groups = {forensics, audio},
  keywords = {Location awareness;Synthesizers;Neural networks;Transformers;Telephone sets;Robustness;Fraud;synthetic speech detection;deep learning;signal processing;ASVspoof2019;transformer networks},
  }

• E. D. Cannas, S. Baireddy, P. Bestagini, S. Tubaro, and E. J. Delp, “Enhancement Strategies For Copy-Paste Generation & Localization in RGB Satellite Imagery,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2023 2023, pp. 1-6.
  [Bibtex]

  @InProceedings{cannas2023enhancement,
  author = {Cannas, Edoardo Daniele and Baireddy, Sriram and Bestagini, Paolo and Tubaro, Stefano and Delp, Edward J.},
  booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)},
  title = {Enhancement Strategies For Copy-Paste Generation & Localization in {RGB} Satellite Imagery},
  year = {2023},
  date = {2023},
  doi = {10.1109/WIFS58808.2023.10374637},
  pages = {1-6},
  groups = {forensics},
  }

• K. Bhagtani, A. K. S. Yadav, Z. Xiang, P. Bestagini, and E. J. Delp, “FGSSAT : Unsupervised Fine-Grain Attribution of Unknown Speech Synthesizers Using Transformer Networks,” in Asilomar Conference on Signals, Systems, and Computers, 2023, pp. 1135-1140.
  [Bibtex]

  @InProceedings{bhagtani2023fgssat,
  author = {Bhagtani, Kratika and Yadav, Amit Kumar Singh and Xiang, Ziyue and Bestagini, Paolo and Delp, Edward J.},
  booktitle = {Asilomar Conference on Signals, Systems, and Computers},
  title = {{FGSSAT} : Unsupervised Fine-Grain Attribution of Unknown Speech Synthesizers Using Transformer Networks},
  year = {2023},
  doi = {10.1109/IEEECONF59524.2023.10476982},
  pages = {1135-1140},
  groups = {forensics, audio},
  keywords = {Training;Dimensionality reduction;Computers;Synthesizers;Neural networks;Transformers;Generators;Synthetic speech attribution;speech forensics;deepfake speech;transformer;unsupervised clustering},
  }

• H. Liu, X. Li, W. Zhou, H. Fang, P. Bestagini, W. Zhang, Y. Chen, S. Tubaro, N. Yu, Y. He, and H. Xue, “BiFPro: A Bidirectional Facial-data Protection Framework against DeepFake,” in ACM International Conference on Multimedia, 2023.
  [Bibtex]

  @InProceedings{liu2023bifpro,
  author = {Liu, Honggu and Li, Xiaodan and Zhou, Wenbo and Fang, Han and Bestagini, Paolo and Zhang, Weiming and Chen, Yuefeng and Tubaro, Stefano and Yu, Nenghai and He, Yuan and Xue, Hui},
  booktitle = {ACM International Conference on Multimedia},
  title = {{BiFPro}: A Bidirectional Facial-data Protection Framework against DeepFake},
  year = {2023},
  doi = {10.1145/3581783.3613752},
  url = {https://doi.org/10.1145/3581783.3613752},
  abstract = {The rapid progress of the DeepFake technique has caused severe privacy problems. Thus protecting facial data against DeepFake becomes an urgent requirement. Face protection can be regarded as a bidirectional process: Face-out-detection (FOD) and Face-in-forensics (FIF). For FOD, the detectability should be satisfied when using the protected face to replace other faces. For FIF, traceability should be guaranteed when the protected face is replaced by others. For this, we propose a Bidirectional Facial-data Protection Framework (BiFPro) to protect face data comprehensively. This framework is composed of three main parts: Watermarking embedding, Face-out-detection (FOD) and Face-in-forensics (FIF). For the FOD case, we ensure the vulnerability of the original face by embedding fragile watermarking. Once the protected facial image is used to replace other faces, the watermarking information will be corrupted in the synthesized face images which can be used to detect the authenticity of the protected facial images. As for the FIF case, we guarantee the traceability of the protected face image by embedding robust watermarking, with which the fake faces can be traced with the reserved watermarking even after the face is swapped. Experimental results demonstrate that our proposed BiFPro could generate the watermarking which is fragile to FOD and at the same time robust to FIF with an average watermark extraction success rate reaching more than 95\% when defending against the four advanced DeepFake techniques. Finally, we hope this work can encourage more initiative countermeasures against DeepFake.},
  groups = {forensics},
  keywords = {traceability, forensics, digital watermarking, deepfake},
  }

• D. U. Leonzio, P. Bestagini, M. Marcon, G. P. Quarta, and S. Tubaro, “Robust Water Leak Detection and Localization with Graph Signal Processing,” in Annual Conference of the IEEE Industrial Electronics Society (IECON), 2023, pp. 1-5.
  [Bibtex]

  @InProceedings{leonzio2023robust,
  author = {Leonzio, Daniele Ugo and Bestagini, Paolo and Marcon, Marco and Quarta, Gian Paolo and Tubaro, Stefano},
  booktitle = {Annual Conference of the IEEE Industrial Electronics Society (IECON)},
  title = {Robust Water Leak Detection and Localization with Graph Signal Processing},
  year = {2023},
  doi = {10.1109/IECON51785.2023.10312656},
  pages = {1-5},
  groups = {water},
  keywords = {Location awareness;Training;Interpolation;Signal processing algorithms;Detectors;Signal processing;Leak detection;Anomaly detection;Graph interpolation;Leak detection;Leak localization},
  }

• H. Liu, P. Bestagini, L. Huang, W. Zhou, S. Tubaro, W. Zhang, and N. Yu, “It Wasn’t Me: Irregular Identity in Deepfake Videos,” in IEEE International Conference on Image Processing (ICIP), 2023, pp. 2770-2774.
  [Bibtex]

  @InProceedings{liu2023it,
  author = {Liu, Honggu and Bestagini, Paolo and Huang, Lin and Zhou, Wenbo and Tubaro, Stefano and Zhang, Weiming and Yu, Nenghai},
  booktitle = {IEEE International Conference on Image Processing (ICIP)},
  title = {It Wasn’t Me: Irregular Identity in Deepfake Videos},
  year = {2023},
  doi = {10.1109/ICIP49359.2023.10222654},
  pages = {2770-2774},
  groups = {forensics},
  keywords = {Deepfakes;Image coding;Forensics;Semantics;Time series analysis;Detectors;Feature extraction;DeepFake Detection;Identity Inconsistency;Interpretability;Robustness},
  }

• A. Giganti, S. Mandelli, P. Bestagini, M. Marcon, and S. Tubaro, “Super-Resolution of BVOC Maps by Adapting Deep Learning Methods,” in IEEE International Conference on Image Processing (ICIP), 2023, pp. 1650-1654.
  [Bibtex]

  @InProceedings{giganti2023super,
  author = {Giganti, Antonio and Mandelli, Sara and Bestagini, Paolo and Marcon, Marco and Tubaro, Stefano},
  booktitle = {IEEE International Conference on Image Processing (ICIP)},
  title = {Super-Resolution of {BVOC} Maps by Adapting Deep Learning Methods},
  year = {2023},
  doi = {10.1109/ICIP49359.2023.10223169},
  pages = {1650-1654},
  keywords = {Volatile organic compounds;Superresolution;Neural networks;Air quality;Data models;Compounds;Reliability;Biogenic Emissions;BVOC;Isoprene;Image Super-Resolution},
  }

• D. Salvi, C. Borrelli, P. Bestagini, F. Antonacci, M. Stamm, L. Marcenaro, and A. Majumdar, “Synthetic Speech Attribution: Highlights From the IEEE Signal Processing Cup 2022 Student Competition [SP Competitions],” IEEE Signal Processing Magazine, vol. 40, iss. 6, pp. 92-98, 2023.
  [Bibtex]

  @Article{salvi2023synthetica,
  author = {Salvi, Davide and Borrelli, Clara and Bestagini, Paolo and Antonacci, Fabio and Stamm, Matthew and Marcenaro, Lucio and Majumdar, Angshul},
  journal = {IEEE Signal Processing Magazine},
  title = {Synthetic Speech Attribution: Highlights From the IEEE Signal Processing Cup 2022 Student Competition [SP Competitions]},
  year = {2023},
  doi = {10.1109/MSP.2023.3268823},
  number = {6},
  pages = {92-98},
  volume = {40},
  groups = {forensics},
  keywords = {Neural networks;Signal processing;Speech synthesis;Digital communication;Multimedia communication;Speech synthesis;Voice activity detection},
  }

• A. Giganti, S. Mandelli, P. Bestagini, M. Marcon, and S. Tubaro, “Multi-BVOC Super-Resolution Exploiting Compounds Inter-Connection,” in European Signal Processing Conference (EUSIPCO), 2023 2023, pp. 1315-1319.
  [Bibtex]

  @InProceedings{giganti2023multi,
  author = {Giganti, Antonio and Mandelli, Sara and Bestagini, Paolo and Marcon, Marco and Tubaro, Stefano},
  booktitle = {European Signal Processing Conference (EUSIPCO)},
  title = {Multi-{BVOC} Super-Resolution Exploiting Compounds Inter-Connection},
  year = {2023},
  date = {2023},
  doi = {10.23919/EUSIPCO58844.2023.10290089},
  pages = {1315-1319},
  keywords = {Volatile organic compounds;Atmospheric measurements;Atmospheric modeling;Biological system modeling;Superresolution;Compounds;Reliability;BVOC;Biogenic Emissions;Isoprene;Super-Resolution;Multi-Image Super-Resolution},
  }

• E. D. Cannas, S. Mandelli, P. Bestagini, S. Tubaro, and E. J. Delp, “Deep Image Prior Amplitude SAR Image Anonymization,” Remote Sensing, vol. 15, iss. 15, 2023.
  [Bibtex]

  @Article{cannas2023deep,
  author = {Cannas, Edoardo Daniele and Mandelli, Sara and Bestagini, Paolo and Tubaro, Stefano and Delp, Edward J.},
  journal = {Remote Sensing},
  title = {Deep Image Prior Amplitude {SAR} Image Anonymization},
  year = {2023},
  doi = {10.3390/rs15153750},
  issn = {2072-4292},
  number = {15},
  url = {https://www.mdpi.com/2072-4292/15/15/3750},
  volume = {15},
  abstract = {This paper presents an extensive evaluation of the Deep Image Prior (DIP) technique for image inpainting on Synthetic Aperture Radar (SAR) images. SAR images are gaining popularity in various applications, but there may be a need to conceal certain regions of them. Image inpainting provides a solution for this. However, not all inpainting techniques are designed to work on SAR images. Some are intended for use on photographs, while others have to be specifically trained on top of a huge set of images. In this work, we evaluate the performance of the DIP technique that is capable of addressing these challenges: it can adapt to the image under analysis including SAR imagery; it does not require any training. Our results demonstrate that the DIP method achieves great performance in terms of objective and semantic metrics. This indicates that the DIP method is a promising approach for inpainting SAR images, and can provide high-quality results that meet the requirements of various applications.},
  article-number = {3750},
  groups = {forensics},
  }

• A. Giganti, S. Mandelli, P. Bestagini, M. Marcon, and S. Tubaro, “Super-Resolution of Bvoc Emission Maps Via Domain Adaptation,” in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023, pp. 738-741.
  [Bibtex]

  @InProceedings{giganti2023supera,
  author = {Giganti, Antonio and Mandelli, Sara and Bestagini, Paolo and Marcon, Marco and Tubaro, Stefano},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
  title = {Super-Resolution of Bvoc Emission Maps Via Domain Adaptation},
  year = {2023},
  doi = {10.1109/IGARSS52108.2023.10281779},
  pages = {738-741},
  keywords = {Training;Deep learning;Volatile organic compounds;Adaptation models;Satellites;Superresolution;Numerical simulation;Biogenic Emission;BVOC;Isoprene;Image Super-Resolution;Domain Adaptation},
  }

• D. U. Leonzio, L. Cuccovillo, P. Bestagini, M. Marcon, P. Aichroth, and S. Tubaro, “Audio Splicing Detection and Localization Based on Acquisition Device Traces,” IEEE Transactions on Information Forensics and Security (TIFS), vol. 18, pp. 4157-4172, 2023.
  [Bibtex]

  @Article{leonzio2023audio,
  author = {Leonzio, Daniele Ugo and Cuccovillo, Luca and Bestagini, Paolo and Marcon, Marco and Aichroth, Patrick and Tubaro, Stefano},
  journal = {IEEE Transactions on Information Forensics and Security (TIFS)},
  title = {Audio Splicing Detection and Localization Based on Acquisition Device Traces},
  year = {2023},
  doi = {10.1109/TIFS.2023.3293415},
  pages = {4157-4172},
  volume = {18},
  groups = {audio, forensics},
  keywords = {Splicing;Microphones;Location awareness;Feature extraction;Audio recording;Forensics;Task analysis;Audio forensics;audio authentication;microphone fingerprints;splicing detection;splicing localization},
  }

• Z. Xiang, A. K. S. Yadav, S. Tubaro, P. Bestagini, and E. J. Delp, “Extracting Efficient Spectrograms From MP3 Compressed Speech Signals for Synthetic Speech Detection,” in ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec), New York, NY, USA, 2023, p. 163–168.
  [Bibtex]

  @InProceedings{xiang2023extracting,
  author = {Xiang, Ziyue and Yadav, Amit Kumar Singh and Tubaro, Stefano and Bestagini, Paolo and Delp, Edward J.},
  booktitle = {ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec)},
  title = {Extracting Efficient Spectrograms From {MP3} Compressed Speech Signals for Synthetic Speech Detection},
  year = {2023},
  doi = {10.1145/3577163.3595104},
  isbn = {9798400700545},
  pages = {163–168},
  publisher = {Association for Computing Machinery},
  series = {IH&MMSec '23},
  url = {https://doi.org/10.1145/3577163.3595104},
  abstract = {Many speech signals are compressed with MP3 to reduce the data rate. In many synthetic speech detection methods the spectrogram of the speech signal is used. This usually requires the speech signal to be fully decompressed. We show that the design of MP3 compression allows one to approximate the spectrogram of the MP3 compressed speech efficiently without fully decoding the compressed speech. We denote the spectograms obtained using our proposed approach by Efficient Spectrograms (E-Specs). E-Spec can reduce the complexity of spectrogram computation by ~77.60 percentage points (p.p.) and save ~37.87 p.p. of MP3 decoding time. E-Spec bypasses the reconstruction artifacts introduced by the MP3 synthesis filterbank, which makes it useful in speech forensics tasks. We tested E-Spec in the synthetic speech detection, where a detector is asked to determine whether a speech signal is synthesized or recorded from a human. We examined 4 different neural network architectures to evaluate the performance of E-Spec compared to speech features extracted from the fully decoded speech signal. E-Spec achieved the best synthetic speech detection performance for 3 architectures; it also achieved the best overall detection performance across architectures. The computation of E-Spec is an approximation to Short Time Fourier Transform (STFT). E-Spec can be extended to other audio compression methods.},
  address = {New York, NY, USA},
  groups = {audio, forensics},
  keywords = {asvspoof19, audio compression, deep learning, mp3 compression, signal processing, synthetic speech detection},
  numpages = {6},
  }

• K. Bhagtani, E. R. Bartusiak, A. K. S. Yadav, P. Bestagini, and E. J. Delp, “Synthesized Speech Attribution Using The Patchout Spectrogram Attribution Transformer,” in ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec), New York, NY, USA, 2023 2023, p. 157–162.
  [Bibtex]

  @InProceedings{bhagtani2023synthesized,
  author = {Bhagtani, Kratika and Bartusiak, Emily R. and Yadav, Amit Kumar Singh and Bestagini, Paolo and Delp, Edward J.},
  booktitle = {ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec)},
  title = {Synthesized Speech Attribution Using The Patchout Spectrogram Attribution Transformer},
  year = {2023},
  date = {2023},
  doi = {10.1145/3577163.3595112},
  isbn = {9798400700545},
  location = {Chicago, IL, USA},
  pages = {157–162},
  publisher = {Association for Computing Machinery},
  series = {IH&MMSec '23},
  url = {https://doi.org/10.1145/3577163.3595112},
  abstract = {The malicious use of synthetic speech has increased with the recent availability of speech generation tools. It is important to determine whether a speech signal is authentic (spoken by a human) or is synthesized and to determine the generation method used to create it. Identifying the synthesis method is known as synthetic speech attribution. In this paper, we propose the use of a transformer deep learning method that analyzes mel-spectrograms for synthetic speech attribution. Our method known as Patchout Spectrogram Attribution Transformer (PSAT) can distinguish new, unseen speech generation methods from those seen during training. PSAT demonstrates high performance in attributing synthetic speech signals. Evaluation on the DARPA SemaFor Audio Attribution Dataset and the ASVSpoof2019 Dataset shows that our method achieves more than 95\% accuracy in synthetic speech attribution and performs better than existing deep learning approaches.},
  address = {New York, NY, USA},
  groups = {audio, forensics},
  keywords = {transformers, synthetic speech, mel-spectrograms, deep learning, audio forensics},
  numpages = {6},
  }

• D. U. Leonzio, P. Bestagini, M. Marcon, G. P. Quarta, and S. Tubaro, “Water Leak Detection and Localization Using Convolutional Autoencoders,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023.
  [Bibtex]

  @InProceedings{leonzio2023water,
  author = {Leonzio, Daniele Ugo and Bestagini, Paolo and Marcon, Marco and Quarta, Gian Paolo and Tubaro, Stefano},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  title = {Water Leak Detection and Localization Using Convolutional Autoencoders},
  year = {2023},
  doi = {10.1109/ICASSP49357.2023.10095760},
  groups = {water},
  keywords = {Location awareness;Signal processing algorithms;Distribution networks;Pressure measurement;Topology;Reliability;Leak detection;Water pipe leaks;Leak detection;Leak localization;Water Distribution Network},
  }

• A. K. Singh Yadav, Z. Xiang, E. R. Bartusiak, P. Bestagini, S. Tubaro, and E. J. Delp, “ASSD: Synthetic Speech Detection in the AAC Compressed Domain,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023.
  [Bibtex]

  @InProceedings{singhyadav2023assd,
  author = {Singh Yadav, Amit Kumar and Xiang, Ziyue and Bartusiak, Emily R. and Bestagini, Paolo and Tubaro, Stefano and Delp, Edward J.},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  title = {{ASSD}: Synthetic Speech Detection in the {AAC} Compressed Domain},
  year = {2023},
  doi = {10.1109/ICASSP49357.2023.10095043},
  groups = {audio, forensics},
  keywords = {Social networking (online);Audio coding;Neural networks;Metadata;Transformers;Speech synthesis;Data mining;Synthetic speech detection;speech forensics;compressed speech;metadata;transformer},
  }

• Z. Xiang, A. K. S. Yadav, P. Bestagini, S. Tubaro, and E. J. Delp, “MTN: Forensic Analysis of MP4 Video Files Using Graph Neural Networks,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2023-06 2023, pp. 963-972.
  [Bibtex]

  @InProceedings{xiang2023mtn,
  author = {Xiang, Ziyue and Yadav, Amit Kumar Singh and Bestagini, Paolo and Tubaro, Stefano and Delp, Edward J.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop},
  title = {{MTN}: Forensic Analysis of {MP4} Video Files Using Graph Neural Networks},
  year = {2023},
  date = {2023-06},
  pages = {963-972},
  groups = {forensics},
  }

2022

• E. D. Cannas, N. Bonettini, S. Mandelli, P. Bestagini, and S. Tubaro, “Amplitude SAR Imagery Splicing Localization,” IEEE Access, vol. 10, pp. 33882-33899, 2022.
  [Bibtex]

  @Article{cannas2022amplitude,
  author = {Cannas, Edoardo Daniele and Bonettini, Nicolò and Mandelli, Sara and Bestagini, Paolo and Tubaro, Stefano},
  title = {Amplitude {SAR} Imagery Splicing Localization},
  journal = {IEEE Access},
  year = {2022},
  volume = {10},
  pages = {33882-33899},
  doi = {10.1109/ACCESS.2022.3161836},
  groups = {forensics},
  }

• F. Picetti, S. Mandelli, P. Bestagini, V. Lipari, and S. Tubaro, “DIPPAS: a deep image prior PRNU anonymization scheme,” EURASIP Journal on Information Security, vol. 2022, 2022.
  [Bibtex]

  @Article{picetti2022dippas,
  author = {Picetti, Francesco and Mandelli, Sara and Bestagini, Paolo and Lipari, Vincenzo and Tubaro, Stefano},
  title = {{DIPPAS}: a deep image prior {PRNU} anonymization scheme},
  journal = {EURASIP Journal on Information Security},
  year = {2022},
  volume = {2022},
  doi = {10.1186/s13635-022-00128-7},
  url = {https://doi.org/10.1186/s13635-022-00128-7},
  groups = {forensics},
  }

• E. D. Cannas, J. Horváth, S. Baireddy, P. Bestagini, E. J. Delp, and S. Tubaro, “Panchromatic Imagery Copy-Paste Localization Through Data-Driven Sensor Attribution,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.
  [Bibtex]

  @InProceedings{cannas2022panchromatic,
  author = {Cannas, E. D. and Horváth, J. and Baireddy, S. and Bestagini, P. and Delp, E. J. and Tubaro, S.},
  title = {Panchromatic Imagery Copy-Paste Localization Through Data-Driven Sensor Attribution},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year = {2022},
  doi = {10.1109/ICASSP43922.2022.9746308},
  groups = {forensics},
  }

• E. Conti, D. Salvi, C. Borrelli, B. Hosler, P. Bestagini, F. Antonacci, A. Sarti, M. C. Stamm, and S. Tubaro, “Deepfake Speech Detection Through Emotion Recognition: A Semantic Approach,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.
  [Bibtex]

  @InProceedings{conti2022deepfake,
  author = {Conti, Emanuele and Salvi, Davide and Borrelli, Clara and Hosler, Brian and Bestagini, Paolo and Antonacci, Fabio and Sarti, Augusto and Stamm, Matthew C. and Tubaro, Stefano},
  title = {Deepfake Speech Detection Through Emotion Recognition: A Semantic Approach},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year = {2022},
  doi = {10.1109/ICASSP43922.2022.9747186},
  groups = {audio, forensics},
  }

• Z. Xiang, P. Bestagini, S. Tubaro, and E. J. Delp, “Forensic Analysis and Localization of Multiply Compressed MP3 Audio Using Transformers,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.
  [Bibtex]

  @InProceedings{xiang2022forensic,
  author = {Xiang, Ziyue and Bestagini, Paolo and Tubaro, Stefano and Delp, Edward J.},
  title = {Forensic Analysis and Localization of Multiply Compressed MP3 Audio Using Transformers},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year = {2022},
  doi = {10.1109/ICASSP43922.2022.9747639},
  groups = {forensics, audio},
  }

• M. Papa, C. Borrelli, P. Bestagini, F. Antonacci, A. Sarti, and S. Tubaro, “A Data-Driven Approach for Acoustic Parameter Similarity Estimation of Speech Recording,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.
  [Bibtex]

  @InProceedings{papa2022data,
  author = {Papa, Mattia and Borrelli, Clara and Bestagini, Paolo and Antonacci, Fabio and Sarti, Augusto and Tubaro, Stefano},
  title = {A Data-Driven Approach for Acoustic Parameter Similarity Estimation of Speech Recording},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year = {2022},
  doi = {10.1109/ICASSP43922.2022.9747043},
  groups = {forensics, audio},
  }

• L. Cuccovillo, A. Giganti, P. Bestagini, P. Aichroth, and S. Tubaro, “Spectral Denoising for Microphone Classification,” in International Workshop on Multimedia AI against Disinformation, 2022.
  [Bibtex]

  @InProceedings{cuccovillo2022spectral,
  author = {Cuccovillo, Luca and Giganti, Antonio and Bestagini, Paolo and Aichroth, Patrick and Tubaro, Stefano},
  title = {Spectral Denoising for Microphone Classification},
  booktitle = {International Workshop on Multimedia {AI} against Disinformation},
  year = {2022},
  doi = {10.1145/3512732.3533586},
  url = {https://doi.org/10.1145/3512732.3533586},
  groups = {forensics, audio},
  }

• J. Horváth, X. Ziyue, E. D. Cannas, P. Bestagini, S. Tubaro, and E. J. Delp, “Sat U-net: a fusion based method for forensic splicing localization in satellite images,” in Multimodal Image Exploitation and Learning 2022, 2022, p. 1210002.
  [Bibtex]

  @inproceedings{horvath2022sat,
  title={Sat U-net: a fusion based method for forensic splicing localization in satellite images},
  author={Horv{\'a}th, J{\'a}nos and Ziyue, Xiang and Cannas, Edoardo Daniele and Bestagini, Paolo and Tubaro, Stefano and Delp, Edward J.},
  booktitle={Multimodal Image Exploitation and Learning 2022},
  volume={12100},
  pages={1210002},
  year={2022},
  organization={SPIE},
  groups = {forensics}
  }

• W. Xu, V. Lipari, P. Bestagini, W. Chen, and S. Tubaro, “Interpolation of Missing Shots Via Plug and Play Method with Csgs Trained Deep Denoiser,” in 83rd EAGE Annual Conference & Exhibition, 2022, p. 1–5.
  [Bibtex]

  @inproceedings{xu2022interpolation,
  title={Interpolation of Missing Shots Via Plug and Play Method with Csgs Trained Deep Denoiser},
  author={Xu, W and Lipari, V and Bestagini, P and Chen, W and Tubaro, S},
  booktitle={83rd EAGE Annual Conference \& Exhibition},
  volume={2022},
  number={1},
  pages={1--5},
  year={2022},
  organization={EAGE Publications BV},
  groups={geophysics}
  }

• W. Xu, V. Lipari, P. Bestagini, M. Ravasi, W. Chen, and S. Tubaro, “Intelligent seismic deblending through deep preconditioner,” IEEE Geoscience and Remote Sensing Letters, vol. 19, p. 1–5, 2022.
  [Bibtex]

  @article{xu2022intelligent,
  title={Intelligent seismic deblending through deep preconditioner},
  author={Xu, Weiwei and Lipari, Vincenzo and Bestagini, Paolo and Ravasi, Matteo and Chen, Wenchao and Tubaro, Stefano},
  journal={IEEE Geoscience and Remote Sensing Letters},
  volume={19},
  pages={1--5},
  year={2022},
  publisher={IEEE},
  groups={geophysics}
  }

• N. Bonettini, C. A. Gonano, P. Bestagini, M. Marcon, B. Garavelli, and S. Tubaro, “Comparing AutoEncoder Variants for Real-Time Denoising of Hyperspectral X-Ray,” IEEE Sensors Journal, vol. 22, iss. 18, p. 17997–18007, 2022.
  [Bibtex]

  @article{bonettini2022comparing,
  title={Comparing AutoEncoder Variants for Real-Time Denoising of Hyperspectral X-Ray},
  author={Bonettini, Nicolo and Gonano, Carlo Andrea and Bestagini, Paolo and Marcon, Marco and Garavelli, Bruno and Tubaro, Stefano},
  journal={IEEE Sensors Journal},
  volume={22},
  number={18},
  pages={17997--18007},
  year={2022},
  publisher={IEEE},
  groups={forensics}
  }

• A. Giganti, L. Cuccovillo, P. Bestagini, P. Aichroth, and S. Tubaro, “Speaker-independent microphone identification in noisy conditions,” in 30th European Signal Processing Conference (EUSIPCO), 2022, p. 1047–1051.
  [Bibtex]

  @inproceedings{giganti2022speaker,
  title={Speaker-independent microphone identification in noisy conditions},
  author={Giganti, Antonio and Cuccovillo, Luca and Bestagini, Paolo and Aichroth, Patrick and Tubaro, Stefano},
  booktitle={30th European Signal Processing Conference (EUSIPCO)},
  pages={1047--1051},
  year={2022},
  organization={IEEE},
  groups={forensics, audio}
  }

• L. Abady, E. D. Cannas, P. Bestagini, B. Tondi, S. Tubaro, M. Barni, and others, “An Overview on the Generation and Detection of Synthetic and Manipulated Satellite Images,” APSIPA Transactions on Signal and Information Processing, vol. 11, iss. 1, 2022.
  [Bibtex]

  @article{abady2022overview,
  title={An Overview on the Generation and Detection of Synthetic and Manipulated Satellite Images},
  author={Abady, Lydia and Cannas, Edoardo Daniele and Bestagini, Paolo and Tondi, Benedetta and Tubaro, Stefano and Barni, Mauro and others},
  journal={APSIPA Transactions on Signal and Information Processing},
  volume={11},
  number={1},
  year={2022},
  publisher={Now Publishers, Inc.},
  groups={forensics}
  }

• S. Mandelli, N. Bonettini, P. Bestagini, and S. Tubaro, “Detecting GAN-generated images by orthogonal training of multiple CNNs,” in IEEE International Conference on Image Processing (ICIP), 2022, p. 3091–3095.
  [Bibtex]

  @inproceedings{mandelli2022detecting,
  title={Detecting GAN-generated images by orthogonal training of multiple CNNs},
  author={Mandelli, Sara and Bonettini, Nicol{\`o} and Bestagini, Paolo and Tubaro, Stefano},
  booktitle={IEEE International Conference on Image Processing (ICIP)},
  pages={3091--3095},
  year={2022},
  organization={IEEE},
  groups={forensics}
  }

• L. Attorresi, D. Salvi, C. Borrelli, P. Bestagini, and S. Tubaro, “Combining Automatic Speaker Verification and Prosody Analysis for Synthetic Speech Detection,” in International Conference on Pattern Recognition (ICPR), 2022.
  [Bibtex]

  @inproceedings{attorresi2022combining,
  title={Combining Automatic Speaker Verification and Prosody Analysis for Synthetic Speech Detection},
  author={Attorresi, Luigi and Salvi, Davide and Borrelli, Clara and Bestagini, Paolo and Tubaro, Stefano},
  booktitle={International Conference on Pattern Recognition (ICPR)},
  year={2022},
  groups={forensics, audio}
  }

• W. Xu, V. Lipari, P. Bestagini, W. Chen, S. Tubaro, and others, “Equivariant imaging for self-supervised regularly undersampled seismic data interpolation,” in SEG/AAPG International Meeting for Applied Geoscience & Energy, 2022.
  [Bibtex]

  @inproceedings{xu2022equivariant,
  title={Equivariant imaging for self-supervised regularly undersampled seismic data interpolation},
  author={Xu, Weiwei and Lipari, Vincenzo and Bestagini, Paolo and Chen, Wenchao and Tubaro, Stefano and others},
  booktitle={SEG/AAPG International Meeting for Applied Geoscience \& Energy},
  year={2022},
  organization={OnePetro},
  groups={geophysics}
  }

• D. Moreira, J. P. Cardenuto, R. Shao, S. Baireddy, D. Cozzolino, D. Gragnaniello, W. Abd-Almageed, P. Bestagini, S. Tubaro, A. Rocha, W. Scheirer, L. Verdoliva, and E. Delp, “SILA: a system for scientific image analysis,” Scientific Reports, vol. 12, p. 18306, 2022.
  [Bibtex]

  @Article{moreira2022sila,
  author = {Moreira, Daniel and Cardenuto, Jo{\~{a}}o Phillipe and Shao, Ruiting and Baireddy, Sriram and Cozzolino, Davide and Gragnaniello, Diego and Abd-Almageed, Wael and Bestagini, Paolo and Tubaro, Stefano and Rocha, Anderson and Scheirer, Walter and Verdoliva, Luisa and Delp, Edward},
  title = {{SILA: a system for scientific image analysis}},
  journal = {Scientific Reports},
  year = {2022},
  volume = {12},
  pages = {18306},
  doi = {10.1038/s41598-022-21535-3},
  url = {https://doi.org/10.1038/s41598-022-21535-3},
  groups = {forensics},
  }

• D. Salvi, P. Bestagini, and S. Tubaro, “Exploring the Synthetic Speech Attribution Problem Through Data-Driven Detectors,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2022.
  [Bibtex]

  @InProceedings{salvi2022exploring,
  author = {Salvi, Davide and Bestagini, Paolo and Tubaro, Stefano},
  booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)},
  title = {Exploring the Synthetic Speech Attribution Problem Through Data-Driven Detectors},
  year = {2022},
  doi = {10.1109/WIFS55849.2022.9975440},
  groups = {audio, forensics},
  keywords = {Deepfakes;Adaptation models;Forensics;Conferences;Detectors;Speech synthesis;Security;Forensics;Audio;Speech;Deepfake;Attribution},
  }

• S. Mandelli, D. Cozzolino, E. D. Cannas, J. P. Cardenuto, D. Moreira, P. Bestagini, W. J. Scheirer, A. Rocha, L. Verdoliva, S. Tubaro, and E. J. Delp, “Forensic Analysis of Synthetically Generated Western Blot Images,” IEEE Access, vol. 10, pp. 59919-59932, 2022.
  [Bibtex]

  @Article{mandelli2022forensica,
  author = {Mandelli, Sara and Cozzolino, Davide and Cannas, Edoardo D. and Cardenuto, João P. and Moreira, Daniel and Bestagini, Paolo and Scheirer, Walter J. and Rocha, Anderson and Verdoliva, Luisa and Tubaro, Stefano and Delp, Edward J.},
  title = {Forensic Analysis of Synthetically Generated Western Blot Images},
  doi = {10.1109/ACCESS.2022.3179116},
  pages = {59919-59932},
  volume = {10},
  groups = {forensics},
  journal = {IEEE Access},
  publisher = {IEEE},
  year = {2022},
  }

2021

• B. Hosler, D. Salvi, A. Murray, F. Antonacci, P. Bestagini, S. Tubaro, and M. C. Stamm, “Do Deepfakes Feel Emotions? A Semantic Approach to Detecting Deepfakes Via Emotional Inconsistencies,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2021.
  [Bibtex]

  @InProceedings{hosler2021do,
  author = {Hosler, B. and Salvi, D. and Murray, A. and Antonacci, F. and Bestagini, P. and Tubaro, S. and Stamm, M. C.},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop},
  title = {Do Deepfakes Feel Emotions? A Semantic Approach to Detecting Deepfakes Via Emotional Inconsistencies},
  year = {2021},
  groups = {forensics},
  }

• N. Bonettini, E. D. Cannas, S. Mandelli, L. Bondi, P. Bestagini, and S. Tubaro, “Video Face Manipulation Detection Through Ensemble of CNNs,” in International Conference on Pattern Recognition (ICPR), 2021.
  [Bibtex]

  @InProceedings{bonettini2021video,
  author = {Bonettini, N. and Cannas, E. D. and Mandelli, S. and Bondi, L. and Bestagini, P. and Tubaro, S.},
  title = {Video Face Manipulation Detection Through Ensemble of {CNNs}},
  booktitle = {International Conference on Pattern Recognition (ICPR)},
  year = {2021},
  groups = {forensics},
  }

• N. Bonettini, P. Bestagini, S. Milani, and S. Tubaro, “On the Use of Benford’s Law to Detect GAN-Generated Images,” in International Conference on Pattern Recognition (ICPR), 2021.
  [Bibtex]

  @InProceedings{bonettini2021use,
  author = {Bonettini, N. and Bestagini, P. and Milani, S. and Tubaro, S.},
  title = {On the Use of {Benford}'s Law to Detect {GAN}-Generated Images},
  booktitle = {International Conference on Pattern Recognition (ICPR)},
  year = {2021},
  groups = {forensics},
  }

• C. Borrelli, P. Bestagini, F. Antonacci, A. Sarti, and S. Tubaro, “Synthetic speech detection through short-term and long-term prediction traces,” EURASIP Journal on Information Security, vol. 2021, iss. 1, p. 2, 2021.
  [Bibtex]

  @article{borrelli2021synthetic,
  author = {Borrelli, Clara and Bestagini, Paolo and Antonacci, Fabio and Sarti, Augusto and Tubaro, Stefano},
  doi = {10.1186/s13635-021-00116-3},
  groups = {audio, forensics},
  journal = {EURASIP Journal on Information Security},
  number = {1},
  pages = {2},
  title = {{Synthetic speech detection through short-term and long-term prediction traces}},
  url = {https://doi.org/10.1186/s13635-021-00116-3},
  volume = {2021},
  year = {2021}}

• L. Comanducci, P. Bestagini, M. Tagliasacchi, A. Sarti, and S. Tubaro, “Reconstructing Speech From CNN Embeddings,” IEEE Signal Processing Letters, vol. 28, pp. 952-956, 2021.
  [Bibtex]

  @article{comanducci2021reconstructing,
  author = {Comanducci, Luca and Bestagini, Paolo and Tagliasacchi, Marco and Sarti, Augusto and Tubaro, Stefano},
  groups = {audio},
  journal = {IEEE Signal Processing Letters},
  pages = {952-956},
  title = {Reconstructing Speech From CNN Embeddings},
  volume = {28},
  year = {2021},
  doi = {10.1109/LSP.2021.3073628}}

• D. Dal Cortivo, S. Mandelli, P. Bestagini, and S. Tubaro, “CNN-Based Multi-Modal Camera Model Identification on Video Sequences,” Journal of Imaging, vol. 7, 2021.
  [Bibtex]

  @Article{dalcortivo2021cnn,
  author = {Dal Cortivo, Davide and Mandelli, Sara and Bestagini, Paolo and Tubaro, Stefano},
  title = {{CNN}-Based Multi-Modal Camera Model Identification on Video Sequences},
  journal = {Journal of Imaging},
  year = {2021},
  volume = {7},
  doi = {10.3390/jimaging7080135},
  url = {https://www.mdpi.com/2313-433X/7/8/135},
  }

• S. Verde, E. D. Cannas, P. Bestagini, S. Milani, G. Calvagno, and S. Tubaro, “FOCAL: A Forgery Localization Framework Based on Video Coding Self-Consistency,” IEEE Open Journal of Signal Processing, vol. 2, pp. 217-229, 2021.
  [Bibtex]

  @Article{verde2021focal,
  author = {Verde, Sebastiano and Cannas, Edoardo Daniele and Bestagini, Paolo and Milani, Simone and Calvagno, Giancarlo and Tubaro, Stefano},
  title = {{FOCAL}: A Forgery Localization Framework Based on Video Coding Self-Consistency},
  journal = {IEEE Open Journal of Signal Processing},
  year = {2021},
  volume = {2},
  pages = {217-229},
  doi = {10.1109/OJSP.2021.3074298},
  }

• Z. Xiang, J. Horvath, S. Baireddy, P. Bestagini, S. Tubaro, and E. J. Delp, “Forensic Analysis of Video Files Using Metadata,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021.
  [Bibtex]

  @InProceedings{xiang2021forensic,
  author = {Xiang, Ziyue and Horvath, Janos and Baireddy, Sriram and Bestagini, Paolo and Tubaro, Stefano and Delp, Edward J.},
  title = {Forensic Analysis of Video Files Using Metadata},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
  year = {2021},
  }

• F. Picetti, V. Lipari, P. Bestagini, and S. Tubaro, “Anti-Aliasing Add-On for Deep Prior Seismic Data Interpolation,” in IEEE International Conference on Image Processing (ICIP), 2021.
  [Bibtex]

  @InProceedings{picetti2021anti,
  author = {Picetti, Francesco and Lipari, Vincenzo and Bestagini, Paolo and Tubaro, Stefano},
  booktitle = {IEEE International Conference on Image Processing (ICIP)},
  title = {Anti-Aliasing Add-On for Deep Prior Seismic Data Interpolation},
  year = {2021},
  }

• V. Lipari, F. Picetti, P. Bestagini, and S. Tubaro, “Post-Stack Inversion with Uncertainty Estimation through Bayesian Deep Image Prior,” in European Association of Geophysicists and Engineers (EAGE) Annual Meeting, 2021.
  [Bibtex]

  @InProceedings{lipari2021post,
  author = {Lipari, Vincenzo and Picetti, Francesco and Bestagini, Paolo and Tubaro, Stefano},
  booktitle = {European Association of Geophysicists and Engineers (EAGE) Annual Meeting},
  title = {Post-Stack Inversion with Uncertainty Estimation through Bayesian Deep Image Prior},
  year = {2021},
  }

• M. Pilia, S. Mandelli, P. Bestagini, and S. Tubaro, “Time Scaling Detection and Estimation in Audio Recordings,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2021.
  [Bibtex]

  @InProceedings{pilia2021time,
  author = {Pilia, Michele and Mandelli, Sara and Bestagini, Paolo and Tubaro, Stefano},
  title = {Time Scaling Detection and Estimation in Audio Recordings},
  booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)},
  year = {2021},
  doi = {10.1109/WIFS53200.2021.9648389},
  groups = {forensics},
  }

• E. D. Cannas, S. Baireddy, E. R. Bartusiak, S. K. Yarlagadda, M. D. Montserrat, P. Bestagini, S. Tubaro, and E. J. Delp, “Open-Set Source Attribution for Panchromatic Satellite Imagery,” in IEEE International Conference on Image Processing (ICIP), 2021.
  [Bibtex]

  @InProceedings{cannas2021open,
  author = {Cannas, E. D. and Baireddy, S. and Bartusiak, E. R. and Yarlagadda, S. K. and Montserrat, D. Mas and Bestagini, P. and Tubaro, S. and Delp, E. J.},
  title = {Open-Set Source Attribution for Panchromatic Satellite Imagery},
  booktitle = {IEEE International Conference on Image Processing (ICIP)},
  year = {2021},
  doi = {10.1109/ICIP42928.2021.9506600},
  groups = {forensics},
  }

• N. Bonettini, C. A. Gonano, P. Bestagini, M. Marcon, B. Garavelli, and S. Tubaro, “Multitask learning for denoising and analysis of X-ray polymer acquisitions,” in European Signal Processing Conference (EUSIPCO), 2021.
  [Bibtex]

  @InProceedings{bonettini2021multitask,
  author = {Bonettini, Nicolò and Gonano, Carlo Andrea and Bestagini, Paolo and Marcon, Marco and Garavelli, Bruno and Tubaro, Stefano},
  title = {Multitask learning for denoising and analysis of {X}-ray polymer acquisitions},
  booktitle = {European Signal Processing Conference (EUSIPCO)},
  year = {2021},
  doi = {10.23919/EUSIPCO54536.2021.9616220},
  groups = {image},
  }

2020

• P. Bestagini, F. Lombardi, M. Lualdi, F. Picetti, and S. Tubaro, “Landmine Detection Using Autoencoders on Multipolarization GPR Volumetric Data,” IEEE Transactions on Geoscience and Remote Sensing (TGRS), pp. 1-14, 2020.
  [Bibtex]

  @Article{bestagini2020landmine,
  author = {P. {Bestagini} and F. {Lombardi} and M. {Lualdi} and F. {Picetti} and S. {Tubaro}},
  title = {Landmine Detection Using Autoencoders on Multipolarization GPR Volumetric Data},
  doi = {10.1109/TGRS.2020.2984951},
  pages = {1-14},
  groups = {polimine},
  journal = {IEEE Transactions on Geoscience and Remote Sensing (TGRS)},
  year = {2020},
  }

• F. Lombardi, M. Lualdi, F. Picetti, P. Bestagini, G. Janszen, and L. A. Di Landro, “Ballistic Ground Penetrating Radar Equipment for Blast-Exposed Security Applications,” Remote Sensing, vol. 12, iss. 4, p. 717, 2020.
  [Bibtex]

  @article{lombardi2020ballistic,
  author = {Lombardi, Federico and Lualdi, Maurizio and Picetti, Francesco and Bestagini, Paolo and Janszen, Gerardus and Di Landro, Luca Angelo},
  doi = {http://dx.doi.org/10.3390/rs12040717},
  groups = {polimine},
  journal = {Remote Sensing},
  number = {4},
  pages = {717},
  title = {Ballistic Ground Penetrating Radar Equipment for Blast-Exposed Security Applications},
  volume = {12},
  year = {2020},
  Bdsk-Url-1 = {http://dx.doi.org/10.3390/rs12040717}}

• B. Peixoto, B. Lavi, P. Bestagini, Z. Dias, and A. Rocha, “Multimodal Violence Detection in Videos,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020.
  [Bibtex]

  @inproceedings{peixoto2020multimodal,
  author = {B. {Peixoto} and B. {Lavi} and P. {Bestagini} and Z. {Dias} and A. {Rocha}},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  groups = {forensics},
  title = {Multimodal Violence Detection in Videos},
  year = {2020}}

• F. Kong, V. Lipari, F. Picetti, P. Bestagini, and S. Tubaro, “A Deep Prior Convolutional Autoencoder for Seismic Data Interpolation,” in European Association of Geoscientists and Engineers (EAGE) Conference and Exhibition, 2020.
  [Bibtex]

  @InProceedings{kong2020deepa,
  author = {Kong, F. and Lipari, V. and Picetti, F. and Bestagini, P. and Tubaro, S.},
  booktitle = {European Association of Geoscientists and Engineers (EAGE) Conference and Exhibition},
  title = {A Deep Prior Convolutional Autoencoder for Seismic Data Interpolation},
  doi = {10.3997/2214-4609.202011461},
  number = {1},
  groups = {geophysics},
  year = {2020},
  }

• F. Kong, V. Lipari, F. Picetti, P. Bestagini, and S. Tubaro, “Deep prior-based seismic data interpolation via multi-res U-net,” in Society of Exploration Geophysicists (SEG) Annual Meeting, 2020, pp. 3159-3163.
  [Bibtex]

  @InProceedings{kong2020deepb,
  author = {Kong, F. and Lipari, V. and Picetti, F. and Bestagini, P. and Tubaro, S.},
  booktitle = {Society of Exploration Geophysicists (SEG) Annual Meeting},
  title = {Deep prior-based seismic data interpolation via multi-res U-net},
  doi = {10.1190/segam2020-3426173.1},
  number = {1},
  pages = {3159-3163},
  groups = {geophysics},
  year = {2020},
  }

• S. Mandelli, F. Argenti, P. Bestagini, M. Iuliani, A. Piva, and S. Tubaro, “A Modified Fourier-Mellin Approach for Source Device Identification on Stabilized Videos,” in IEEE International Conference on Image Processing (ICIP), 2020.
  [Bibtex]

  @inproceedings{mandelli2020modified,
  author = {Mandelli, S. and Argenti, F. and Bestagini, P. and Iuliani, M. and Piva, A. and Tubaro, S.},
  booktitle = {IEEE International Conference on Image Processing (ICIP)},
  groups = {forensics},
  title = {A Modified {Fourier-Mellin} Approach for Source Device Identification on Stabilized Videos},
  year = {2020}}

• R. Castelletto, S. Milani, and P. Bestagini, “Phylogenetic Minimum Spanning Tree Reconstruction Using Autoencoders,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020.
  [Bibtex]

  @inproceedings{castelletto2020phylogenetic,
  author = {Castelletto, R. and Milani, S. and Bestagini, P.},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  groups = {forensics},
  title = {Phylogenetic Minimum Spanning Tree Reconstruction Using Autoencoders},
  year = {2020}}

• S. Mandelli, D. Cozzolino, P. Bestagini, L. Verdoliva, and S. Tubaro, “CNN-based fast source device identification,” IEEE Signal Processing Letters (SPL), 2020.
  [Bibtex]

  @article{mandelli2020cnn,
  author = {Mandelli, S. and Cozzolino, D. and Bestagini, P. and Verdoliva, L. and Tubaro, S.},
  groups = {forensics},
  journal = {IEEE Signal Processing Letters (SPL)},
  title = {{CNN}-based fast source device identification},
  year = {2020}}

• L. Comanducci, F. Borra, P. Bestagini, F. Antonacci, S. Tubaro, and A. Sarti, “Source Localization using Distributed Microphones in Reverberant Environments based on Deep Learning and Ray Space Transform,” IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), 2020.
  [Bibtex]

  @article{comanducci2020source,
  author = {L. {Comanducci} and F. {Borra} and P. {Bestagini} and F. {Antonacci} and S. {Tubaro} and A. {Sarti}},
  groups = {audio, space-time},
  journal = {IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP)},
  title = {Source Localization using Distributed Microphones in Reverberant Environments based on Deep Learning and Ray Space Transform},
  year = {2020}}

• F. Kong, F. Picetti, V. Lipari, P. Bestagini, X. Tang, and S. Tubaro, “Deep Prior Based Unsupervised Reconstruction of Irregularly Sampled Seismic Data,” IEEE Geoscience and Remote Sensing Letters (GRSL), 2020.
  [Bibtex]

  @article{kong2020deep,
  author = {Kong, Fantong and Picetti, Francesco and Lipari, Vincenzo and Bestagini, Paolo and Tang, Xiaoming and Tubaro, Stefano},
  doi = {10.1109/LGRS.2020.3044455},
  groups = {geophysics},
  journal = {IEEE Geoscience and Remote Sensing Letters (GRSL)},
  title = {Deep Prior Based Unsupervised Reconstruction of Irregularly Sampled Seismic Data},
  year = {2020},
  Bdsk-Url-1 = {https://doi.org/10.1109/LGRS.2020.3044455}}

• S. Mandelli, N. Bonettini, P. Bestagini, and S. Tubaro, “Training CNNs in Presence of JPEG Compression: Multimedia Forensics vs Computer Vision,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2020.
  [Bibtex]

  @inproceedings{mandelli2020training,
  author = {S. {Mandelli} and N. {Bonettini} and P. {Bestagini} and S. {Tubaro}},
  booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)},
  groups = {forensics},
  title = {Training {CNN}s in Presence of {JPEG} Compression: Multimedia Forensics vs Computer Vision},
  year = {2020}}

• D. Capoferri, C. Borrelli, P. Bestagini, F. Antonacci, A. Sarti, and S. Tubaro, “Speech Audio Splicing Detection and Localization Exploiting Reverberation Cues,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2020.
  [Bibtex]

  @inproceedings{capoferri2020speech,
  author = {Capoferri, Davide and Borrelli, Clara and Bestagini, Paolo and Antonacci, Fabio and Sarti, Augusto and Tubaro, Stefano},
  booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)},
  doi = {10.1109/WIFS49906.2020.9360900},
  groups = {forensics, audio},
  title = {Speech Audio Splicing Detection and Localization Exploiting Reverberation Cues},
  year = {2020}}

• F. Picetti, F. Lombardi, V. Lipari, P. Bestagini, S. Tubaro, and M. Lualdi, “A Tool for Processing Seismic Images: Study on CycleGAN,” in 3rd Asia Pacific Meeting on Near Surface Geoscience & Engineering (NSGE), 2020.
  [Bibtex]

  @InProceedings{picetti2020tool,
  author = {Picetti, Francesco and Lombardi, Federico and Lipari, Vincenzo and Bestagini, Paolo and Tubaro, Stefano and Lualdi, Maurizio},
  booktitle = {3rd Asia Pacific Meeting on Near Surface Geoscience & Engineering (NSGE)},
  title = {A Tool for Processing Seismic Images: Study on CycleGAN},
  doi = {10.3997/2214-4609.202071085},
  groups = {geophysics},
  year = {2020},
  }

• S. Mandelli, D. Cozzolino, P. Bestagini, L. Verdoliva, and S. Tubaro, “CNN-Based Fast Source Device Identification,” IEEE Signal Processing Letters (SPL), vol. 27, pp. 1285-1289, 2020.
  [Bibtex]

  @Article{mandelli2020cnn,
  author = {Mandelli, Sara and Cozzolino, Davide and Bestagini, Paolo and Verdoliva, Luisa and Tubaro, Stefano},
  journal = {IEEE Signal Processing Letters (SPL)},
  title = {CNN-Based Fast Source Device Identification},
  year = {2020},
  doi = {10.1109/LSP.2020.3008855},
  pages = {1285-1289},
  volume = {27},
  groups = {forensics},
  keywords = {Correlation;Cameras;Training;Computational modeling;Image coding;Standards;Databases},
  }

• L. Bondi, E. Daniele Cannas, P. Bestagini, and S. Tubaro, “Training Strategies and Data Augmentations in CNN-based DeepFake Video Detection,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2020 2020, pp. 1-6.
  [Bibtex]

  @InProceedings{bondi2020training,
  author = {Bondi, Luca and Daniele Cannas, Edoardo and Bestagini, Paolo and Tubaro, Stefano},
  booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)},
  title = {Training Strategies and Data Augmentations in {CNN}-based DeepFake Video Detection},
  year = {2020},
  date = {2020},
  doi = {10.1109/WIFS49906.2020.9360901},
  pages = {1-6},
  groups = {forensics},
  keywords = {Training;Pipelines;Training data;Faces;Videos;Information integrity;Testing},
  }

2019

• L. Bondi, P. Bestagini, F. Perez-Gonzalez, and S. Tubaro, “Improving PRNU Compression through Preprocessing, Quantization and Coding,” IEEE Transactions on Information Forensics and Security (TIFS), vol. 14, pp. 608-620, 2019.
  [Bibtex]

  @article{bondi2019improving,
  author = {Bondi, L. and Bestagini, P. and Perez-Gonzalez, F. and Tubaro, S.},
  doi = {10.1109/TIFS.2018.2859587},
  groups = {forensics},
  journal = {IEEE Transactions on Information Forensics and Security (TIFS)},
  pages = {608-620},
  title = {Improving {PRNU} Compression through Preprocessing, Quantization and Coding},
  volume = {14},
  year = {2019},
  Bdsk-Url-1 = {https://doi.org/10.1109/TIFS.2018.2859587}}

• E. R. Bartusiak, S. K. Yarlagadda, D. Güera, P. Bestagini, S. Tubaro, F. M. Zhu, and E. J. Delp, “Splicing Detection and Localization In Satellite Imagery Using Conditional GANs,” in IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), 2019.
  [Bibtex]

  @inproceedings{bartusiak2019splicing,
  author = {E. R. {Bartusiak} and S. K. {Yarlagadda} and D. {G\"uera} and P. {Bestagini} and S. {Tubaro} and F. M. {Zhu} and E. J. {Delp}},
  booktitle = {IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)},
  doi = {10.1109/MIPR.2019.00024},
  groups = {forensics},
  title = {Splicing Detection and Localization In Satellite Imagery Using Conditional {GAN}s},
  year = {2019},
  Bdsk-Url-1 = {https://doi.org/10.1109/MIPR.2019.00024}}

• A. Lieto, D. Moro, F. Devoti, C. Parera, V. Lipari, P. Bestagini, and S. Tubaro, “”Hello? Who Am I Talking to?” A Shallow CNN Approach for Human vs. Bot Speech Classification,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019.
  [Bibtex]

  @inproceedings{lieto2019hello?,
  author = {A. {Lieto} and D. {Moro} and F. {Devoti} and C. {Parera} and V. {Lipari} and P. {Bestagini} and S. {Tubaro}},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  doi = {10.1109/ICASSP.2019.8682743},
  groups = {forensics},
  title = {{"Hello? Who Am I Talking to?" A Shallow CNN Approach for Human vs. Bot Speech Classification}},
  year = {2019},
  Bdsk-Url-1 = {https://doi.org/10.1109/ICASSP.2019.8682743}}

• S. K. Yarlagadda, D. Güera, D. M. Montserrat, F. M. Zhu, E. J. Delp, P. Bestagini, and S. Tubaro, “Shadow Removal Detection and Localization for Forensics Analysis,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019.
  [Bibtex]

  @inproceedings{yarlagadda2019shadow,
  author = {S. K. {Yarlagadda} and D. {G\"uera} and D. M. {Montserrat} and F. M. {Zhu} and E. J. {Delp} and P. {Bestagini} and S. {Tubaro}},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  doi = {10.1109/ICASSP.2019.8683695},
  groups = {forensics},
  title = {Shadow Removal Detection and Localization for Forensics Analysis},
  year = {2019},
  Bdsk-Url-1 = {https://doi.org/10.1109/ICASSP.2019.8683695}}

• P. R. M. Júnior, L. Bondi, P. Bestagini, S. Tubaro, and A. Rocha, “An In-Depth Study on Open-Set Camera Model Identification,” IEEE Access, 2019.
  [Bibtex]

  @article{junior2019depth,
  author = {P. R. M. {J\'unior} and L. {Bondi} and P. {Bestagini} and S. {Tubaro} and A. {Rocha}},
  doi = {10.1109/ACCESS.2019.2921436},
  groups = {forensics},
  journal = {IEEE Access},
  title = {An In-Depth Study on Open-Set Camera Model Identification},
  year = {2019},
  Bdsk-Url-1 = {https://doi.org/10.1109/ACCESS.2019.2921436}}

• S. Mandelli, P. Bestagini, L. Verdoliva, and S. Tubaro, “Facing Device Attribution Problem for Stabilized Video Sequences,” IEEE Transactions on Information Forensics and Security (TIFS), 2019.
  [Bibtex]

  @article{mandelli2019facing,
  author = {S. {Mandelli} and P. {Bestagini} and L. {Verdoliva} and S. {Tubaro}},
  doi = {10.1109/TIFS.2019.2918644},
  groups = {forensics},
  journal = {IEEE Transactions on Information Forensics and Security (TIFS)},
  title = {Facing Device Attribution Problem for Stabilized Video Sequences},
  year = {2019},
  Bdsk-Url-1 = {https://doi.org/10.1109/TIFS.2019.2918644}}

• F. Picetti, V. Lipari, P. Bestagini, and S. Tubaro, “Seismic Image Processing through the Generative Adversarial Network,” Interpretation, vol. 7, 2019.
  [Bibtex]

  @article{picetti2019seismic,
  author = {Picetti, Francesco and Lipari, Vincenzo and Bestagini, Paolo and Tubaro, Stefano},
  doi = {10.1190/INT-2018-0232.1},
  groups = {geophysics},
  journal = {Interpretation},
  title = {Seismic Image Processing through the Generative Adversarial Network},
  volume = {7},
  year = {2019},
  Bdsk-Url-1 = {https://doi.org/10.1190/INT-2018-0232.1}}

• N. Bonettini, D. Güera, L. Bondi, P. Bestagini, E. J. Delp, and S. Tubaro, “Image Anonymization Detection with Deep Handcrafted Features,” in IEEE International Conference on Image Processing (ICIP), 2019.
  [Bibtex]

  @inproceedings{bonettini2019image,
  author = {Bonettini, Nicolo and G{\"u}era, David and Bondi, Luca and Bestagini, Paolo and Delp, Edward J and Tubaro, Stefano},
  booktitle = {IEEE International Conference on Image Processing (ICIP)},
  groups = {forensics},
  title = {Image Anonymization Detection with Deep Handcrafted Features},
  url = {https://engineering.purdue.edu/~dgueraco/content/prnu_icip.pdf},
  year = {2019},
  Bdsk-Url-1 = {https://engineering.purdue.edu/~dgueraco/content/prnu_icip.pdf}}

• D. Güera, S. Baireddy, P. Bestagini, S. Tubaro, and E. J. Delp, “We Need No Pixels: Video Manipulation Detection Using Stream Descriptors,” in International Conference on Machine Learning (ICML), Synthetic Realities: Deep Learning for Detecting AudioVisual Fakes Workshop, 2019.
  [Bibtex]

  @inproceedings{gueera2019we,
  author = {G{\"u}era, D. and Baireddy, S. and Bestagini, P. and Tubaro, S. and Delp, E. J.},
  booktitle = {International Conference on Machine Learning (ICML), Synthetic Realities: Deep Learning for Detecting AudioVisual Fakes Workshop},
  groups = {forensics},
  title = {We Need No Pixels: Video Manipulation Detection Using Stream Descriptors},
  year = {2019}}

• J. Horvath, D. Güera, S. Kalyan Yarlagadda, P. Bestagini, F. Maggie Zhu, S. Tubaro, and E. J. Delp, “Anomaly-Based Manipulation Detection in Satellite Images,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2019.
  [Bibtex]

  @InProceedings{horvath2019anomaly,
  author = {Horvath, Janos and G\"uera, David and Kalyan Yarlagadda, Sri and Bestagini, Paolo and Maggie Zhu, Fengqing and Tubaro, Stefano and Delp, Edward J.},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop},
  title = {Anomaly-Based Manipulation Detection in Satellite Images},
  year = {2019},
  groups = {forensics},
  }

• F. Devoti, C. Parera, A. Lieto, D. Moro, V. Lipari, P. Bestagini, and S. Tubaro, “Wavefield compression for seismic imaging via convolutional neural networks,” in Society of Exploration Geophysicists International Exposition and Annual Meeting (SEG), 2019.
  [Bibtex]

  @inproceedings{devoti2019wavefield,
  author = {Devoti, Francesco and Parera, Claudia and Lieto, Alessandro and Moro, Daniele and Lipari, Vincenzo and Bestagini, Paolo and Tubaro, Stefano},
  booktitle = {Society of Exploration Geophysicists International Exposition and Annual Meeting (SEG)},
  doi = {10.1190/segam2019-3216395.1},
  groups = {geophysics},
  title = {Wavefield compression for seismic imaging via convolutional neural networks},
  year = {2019},
  Bdsk-Url-1 = {https://doi.org/10.1190/segam2019-3216395.1}}

• F. Lombardi, M. Lualdi, F. Picetti, and P. Bestagini, “Identification and Recognition of Landmine Internal Structure Scattering Contribution from GPR Data,” in European Meeting of Environmental and Engineering Geophysics, 2019.
  [Bibtex]

  @InProceedings{lombardi2019identification,
  author = {Lombardi, Federico and Lualdi, Maurizio and Picetti, Francesco and Bestagini, Paolo},
  booktitle = {European Meeting of Environmental and Engineering Geophysics},
  title = {Identification and Recognition of Landmine Internal Structure Scattering Contribution from {GPR} Data},
  doi = {10.3997/2214-4609.201902398},
  groups = {polimine},
  year = {2019},
  }

• N. Bonettini, M. Paracchini, P. Bestagini, M. Marcon, and S. Tubaro, “Hyperspectral X-ray Denoising: Model-Based and Data-Driven Solutions,” in European Signal Processing Conference (EUSIPCO), 2019, pp. 1-5.
  [Bibtex]

  @inproceedings{bonettini2019hyperspectral,
  author = {N. {Bonettini} and M. {Paracchini} and P. {Bestagini} and M. {Marcon} and S. {Tubaro}},
  booktitle = {European Signal Processing Conference (EUSIPCO)},
  doi = {10.23919/EUSIPCO.2019.8903151},
  groups = {image},
  pages = {1-5},
  title = {Hyperspectral X-ray Denoising: Model-Based and Data-Driven Solutions},
  year = {2019},
  Bdsk-Url-1 = {https://doi.org/10.23919/EUSIPCO.2019.8903151}}

• P. R. M. Júnior, L. Bondi, P. Bestagini, A. Rocha, and S. Tubaro, “A PRNU-Based Method to Expose Video Device Compositions in Open-Set Setups,” in IEEE International Conference on Image Processing (ICIP), 2019.
  [Bibtex]

  @inproceedings{junior2019prnu,
  author = {P. R. M. {J{\'u}nior} and L. {Bondi} and P. {Bestagini} and A. {Rocha} and S. {Tubaro}},
  booktitle = {IEEE International Conference on Image Processing (ICIP)},
  doi = {10.1109/ICIP.2019.8802981},
  groups = {forensics},
  title = {A {PRNU}-Based Method to Expose Video Device Compositions in Open-Set Setups},
  year = {2019},
  Bdsk-Url-1 = {https://doi.org/10.1109/ICIP.2019.8802981}}

• C. Borrelli, P. Bestagini, F. Antonacci, A. Sarti, and S. Tubaro, “Automatic Reliability Estimation for Speech Audio Surveillance Recordings,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2019.
  [Bibtex]

  @inproceedings{borrelli2019automatic,
  author = {C. {Borrelli} and P. {Bestagini} and F. {Antonacci} and A. {Sarti} and S. {Tubaro}},
  booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)},
  groups = {forensics},
  title = {Automatic Reliability Estimation for Speech Audio Surveillance Recordings},
  year = {2019}}

2018

• F. Picetti, G. Testa, F. Lombardi, P. Bestagini, M. Lualdi, and S. Tubaro, “Convolutional Autoencoder for Landmine Detection on GPR Scans,” in IEEE International Conference on Telecommunications and Signal Processing (TSP), 2018.
  [Bibtex]

  @InProceedings{picetti2018convolutional,
  author = {Picetti, Francesco and Testa, Giuseppe and Lombardi, Federico and Bestagini, Paolo and Lualdi, Maurizio and Tubaro, Stefano},
  booktitle = {IEEE International Conference on Telecommunications and Signal Processing (TSP)},
  title = {Convolutional Autoencoder for Landmine Detection on {GPR} Scans},
  doi = {10.1109/TSP.2018.8441206},
  groups = {polimine},
  year = {2018},
  }

• S. Mandelli, D. Cozzolino, P. Bestagini, L. Verdoliva, and S. Tubaro, “Blind Detection and Localization of Video Temporal Splicing Exploiting Sensor-Based Footprints,” in European Signal Processing Conference (EUSIPCO), 2018.
  [Bibtex]

  @inproceedings{mandelli2018blind,
  author = {Mandelli, S. and Cozzolino, D. and Bestagini, P. and Verdoliva, L. and Tubaro, S.},
  booktitle = {European Signal Processing Conference (EUSIPCO)},
  groups = {forensics},
  title = {Blind Detection and Localization of Video Temporal Splicing Exploiting Sensor-Based Footprints},
  year = {2018}}

• S. Mandelli, F. Borra, V. Lipari, P. Bestagini, A. Sarti, and S. Tubaro, “Seismic Data Interpolation Through Convolutional Autoencoder,” in Society of Exploration Geophysicists International Exposition and Annual Meeting (SEG), 2018.
  [Bibtex]

  @inproceedings{mandelli2018seismic,
  author = {Mandelli, Sara and Borra, Federico and Lipari, Vincenzo and Bestagini, Paolo and Sarti, Augusto and Tubaro, Stefano},
  booktitle = {Society of Exploration Geophysicists International Exposition and Annual Meeting (SEG)},
  groups = {geophysics},
  title = {Seismic Data Interpolation Through Convolutional Autoencoder},
  year = {2018}}

• S. K. Yarlagadda, D. Güera, P. Bestagini, F. M. Zhu, S. Tubaro, and E. J. Delp, “Satellite Image Forgery Detection and Localization Using GAN and One-Class Classifier,” in IS&T Electronic Imaging (EI), 2018.
  [Bibtex]

  @inproceedings{yarlagadda2018satellite,
  author = {Yarlagadda, Sri K. and G{\"u}era, David and Bestagini, Paolo and Zhu, F. M. and Tubaro, Stefano and Delp, Edward J.},
  booktitle = {IS\&T Electronic Imaging (EI)},
  groups = {forensics},
  title = {Satellite Image Forgery Detection and Localization Using GAN and One-Class Classifier},
  year = {2018}}

• D. Güera, S. K. Yarlagadda, P. Bestagini, F. M. Zhu, S. Tubaro, and E. J. Delp, “Reliability Map Estimation For CNN-Based Camera Model Attribution,” in IEEE Winter Conference on Applications of Computer Vision (WACV), 2018.
  [Bibtex]

  @inproceedings{gueera2018reliability,
  author = {G{\"u}era, David and Yarlagadda, Sri K. and Bestagini, Paolo and Zhu, F. M. and Tubaro, Stefano and Delp, Edward J.},
  booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
  groups = {forensics},
  title = {Reliability Map Estimation For CNN-Based Camera Model Attribution},
  year = {2018}}

• S. Mandelli, N. Bonettini, P. Bestagini, V. Lipari, and S. Tubaro, “Multiple JPEG compression detection through task-driven non-negative matrix factorization,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018.
  [Bibtex]

  @inproceedings{mandelli2018multiple,
  author = {Mandelli, Sara and Bonettini, Nicolo and Bestagini, Paolo and Lipari, Vincenzo and Tubaro, Stefano},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  groups = {forensics},
  title = {Multiple {JPEG} compression detection through task-driven non-negative matrix factorization},
  year = {2018}}

• N. Bonettini, L. Bondi, D. Güera, S. Mandelli, P. Bestagini, S. Tubaro, and E. J. Delp, “Fooling PRNU-Based Detectors Through Convolutional Neural Networks,” in European Signal Processing Conference (EUSIPCO), 2018.
  [Bibtex]

  @inproceedings{bonettini2018fooling,
  author = {Bonettini, N. and Bondi, L. and G{\"u}era, D. and Mandelli, S. and Bestagini, P. and Tubaro, S. and Delp, E. J.},
  booktitle = {European Signal Processing Conference (EUSIPCO)},
  groups = {forensics},
  title = {Fooling PRNU-Based Detectors Through Convolutional Neural Networks},
  year = {2018}}

• S. Verde, L. Bondi, P. Bestagini, S. Milani, G. Calvagno, and S. Tubaro, “Video Codec Forensics Based on Convolutional Neural Networks,” in IEEE International Conference on Image Processing (ICIP), 2018.
  [Bibtex]

  @inproceedings{verde2018video,
  author = {Verde, Sebastiano and Bondi, Luca and Bestagini, Paolo and Milani, Simone and Calvagno, Giancarlo and Tubaro, Stefano},
  booktitle = {IEEE International Conference on Image Processing (ICIP)},
  groups = {forensics},
  title = {Video Codec Forensics Based on Convolutional Neural Networks},
  year = {2018}}

• F. Picetti, V. Lipari, P. Bestagini, and S. Tubaro, “A Generative Adversarial Network For Seismic Imaging Applications,” in Society of Exploration Geophysicists International Exposition and Annual Meeting (SEG), 2018.
  [Bibtex]

  @InProceedings{picetti2018generative,
  author = {Picetti, Francesco and Lipari, Vincenzo and Bestagini, Paolo and Tubaro, Stefano},
  booktitle = {Society of Exploration Geophysicists International Exposition and Annual Meeting (SEG)},
  title = {A Generative Adversarial Network For Seismic Imaging Applications},
  doi = {10.1190/segam2018-2995439.1},
  groups = {geophysics},
  year = {2018},
  }

• L. Comanducci, F. Borra, P. Bestagini, F. Antonacci, A. Sarti, and S. Tubaro, “Ray Space Transform Interpolation with Convolutional Autoencoder,” in International Workshop on Acoustic Signal Enhancement (IWAENC), 2018.
  [Bibtex]

  @inproceedings{comanducci2018ray,
  author = {Comanducci, Luca and Borra, Federico and Bestagini, Paolo and Antonacci, Fabio and Sarti, Augusto and Tubaro, Stefano},
  booktitle = {International Workshop on Acoustic Signal Enhancement (IWAENC)},
  groups = {audio, space-time},
  title = {Ray Space Transform Interpolation with Convolutional Autoencoder},
  year = {2018}}

• N. Bonettini, L. Bondi, P. Bestagini, and S. Tubaro, “JPEG Implementation Forensics Based on Eigen-Algorithms,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2018.
  [Bibtex]

  @inproceedings{bonettini2018jpeg,
  author = {N. {Bonettini} and L. {Bondi} and P. {Bestagini} and S. {Tubaro}},
  booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)},
  doi = {10.1109/WIFS.2018.8630765},
  groups = {forensics},
  title = {{JPEG} Implementation Forensics Based on Eigen-Algorithms},
  year = {2018},
  Bdsk-Url-1 = {https://doi.org/10.1109/WIFS.2018.8630765}}

• M. Stamm, P. Bestagini, L. Marcenaro, and P. Campisi, “Forensic Camera Model Identification: Highlights from the IEEE Signal Processing Cup 2018 Student Competition [SP Competitions],” IEEE Signal Processing Magazine (SPM), vol. 35, pp. 168-174, 2018.
  [Bibtex]

  @article{stamm2018forensic,
  author = {M. {Stamm} and P. {Bestagini} and L. {Marcenaro} and P. {Campisi}},
  doi = {10.1109/MSP.2018.2847326},
  groups = {forensics},
  journal = {IEEE Signal Processing Magazine (SPM)},
  pages = {168-174},
  title = {{Forensic Camera Model Identification: Highlights from the IEEE Signal Processing Cup 2018 Student Competition [SP Competitions]}},
  volume = {35},
  year = {2018},
  Bdsk-Url-1 = {https://doi.org/10.1109/MSP.2018.2847326}}

2017

• L. Bondi, L. Baroffio, D. Güera, P. Bestagini, E. J. Delp, and S. Tubaro, “First Steps Toward Camera Model Identification With Convolutional Neural Networks,” IEEE Signal Processing Letters (SPL), vol. 24, pp. 259-263, 2017.
  [Bibtex]

  @article{bondi2017first,
  author = {Bondi, Luca and Baroffio, Luca and G{\"u}era, David and Bestagini, Paolo and Delp, Edward J. and Tubaro, Stefano},
  doi = {10.1109/LSP.2016.2641006},
  groups = {forensics},
  journal = {IEEE Signal Processing Letters (SPL)},
  pages = {259-263},
  title = {First Steps Toward Camera Model Identification With Convolutional Neural Networks},
  volume = {24},
  year = {2017},
  Bdsk-Url-1 = {https://doi.org/10.1109/LSP.2016.2641006}}

• A. Ferreira, L. Bondi, L. Baroffio, P. Bestagini, J. Huang, J. A. dos Santos, S. Tubaro, and A. Rocha, “Data-Driven Feature Characterization Techniques for Laser Printer Attribution,” IEEE Transactions on Information Forensics and Security (TIFS), vol. 12, pp. 1860-1873, 2017.
  [Bibtex]

  @article{ferreira2017data,
  author = {A. Ferreira and L. Bondi and L. Baroffio and P. Bestagini and J. Huang and J. A. dos Santos and S. Tubaro and A. Rocha},
  doi = {10.1109/TIFS.2017.2692722},
  groups = {forensics},
  journal = {IEEE Transactions on Information Forensics and Security (TIFS)},
  pages = {1860-1873},
  title = {Data-Driven Feature Characterization Techniques for Laser Printer Attribution},
  volume = {12},
  year = {2017},
  Bdsk-Url-1 = {https://doi.org/10.1109/TIFS.2017.2692722}}

• L. Bondi, D. Güera, L. Baroffio, P. Bestagini, E. J. Delp, and S. Tubaro, “A Preliminary Study on Convolutional Neural Networks for Camera Model Identification,” in IS&T Electronic Imaging (EI), 2017.
  [Bibtex]

  @inproceedings{bondi2017preliminary,
  author = {L. Bondi and D. G{\"u}era and L. Baroffio and P. Bestagini and E. J. Delp and S. Tubaro},
  booktitle = {IS\&T Electronic Imaging (EI)},
  groups = {forensics},
  title = {A Preliminary Study on Convolutional Neural Networks for Camera Model Identification},
  year = {2017}}

• M. Zanoni, S. Lusardi, P. Bestagini, A. Canclini, A. Sarti, and S. Tubaro, “Efficient Music Identification Approach Based on Local Spectrogram Image Descriptors,” in Audio Engineering Society (AES) Convention, 2017.
  [Bibtex]

  @inproceedings{zanoni2017efficient,
  author = {Zanoni, Massimiliano and Lusardi, Stefano and Bestagini, Paolo and Canclini, Antonio and Sarti, Augusto and Tubaro, Stefano},
  booktitle = {Audio Engineering Society (AES) Convention},
  groups = {audio, mir},
  title = {Efficient Music Identification Approach Based on Local Spectrogram Image Descriptors},
  year = {2017}}

• S. Milani, P. Bestagini, and S. Tubaro, “Video Phylogeny Tree Reconstruction Using Aging Measures,” in European Signal Processing Conference (EUSIPCO), 2017.
  [Bibtex]

  @inproceedings{milani2017video,
  author = {Milani, Simone and Bestagini, Paolo and Tubaro, Stefano},
  booktitle = {European Signal Processing Conference (EUSIPCO)},
  groups = {forensics},
  title = {Video Phylogeny Tree Reconstruction Using Aging Measures},
  year = {2017}}

• S. Lameri, F. Lombardi, P. Bestagini, M. Lualdi, and S. Tubaro, “Landmine Detection from GPR Data Using Convolutional Neural Networks,” in European Signal Processing Conference (EUSIPCO), 2017.
  [Bibtex]

  @inproceedings{lameri2017landmine,
  author = {Lameri, Silvia and Lombardi, Federico and Bestagini, Paolo and Lualdi, Maurizio and Tubaro, Stefano},
  booktitle = {European Signal Processing Conference (EUSIPCO)},
  groups = {polimine},
  title = {Landmine Detection from GPR Data Using Convolutional Neural Networks},
  year = {2017}}

• S. Mandelli, L. Bondi, S. Lameri, V. Lipari, P. Bestagini, and S. Tubaro, “Inpainting-Based Camera Anonymization,” in IEEE International Conference on Image Processing (ICIP), 2017.
  [Bibtex]

  @inproceedings{mandelli2017inpainting,
  author = {Mandelli, Sara and Bondi, Luca and Lameri, Silvia and Lipari, Vincenzo and Bestagini, Paolo and Tubaro, Stefano},
  booktitle = {IEEE International Conference on Image Processing (ICIP)},
  groups = {forensics},
  title = {Inpainting-Based Camera Anonymization},
  year = {2017}}

• S. Lameri, L. Bondi, P. Bestagini, and S. Tubaro, “Near-Duplicate Video Detection Exploiting Noise Residual Traces,” in IEEE International Conference on Image Processing (ICIP), 2017.
  [Bibtex]

  @inproceedings{lameri2017duplicate,
  author = {Lameri, Silvia and Bondi, Luca and Bestagini, Paolo and Tubaro, Stefano},
  booktitle = {IEEE International Conference on Image Processing (ICIP)},
  groups = {forensics},
  title = {Near-Duplicate Video Detection Exploiting Noise Residual Traces},
  year = {2017}}

• J. Brogan, P. Bestagini, A. Bharati, A. Pinto, D. Moreira, K. Bowyer, P. Flynn, A. Rocha, and W. Scheirer, “Spotting the Difference: Context Retrieval and Analysis for Improved Forgery Detection and Localization,” in IEEE International Conference on Image Processing (ICIP), 2017.
  [Bibtex]

  @inproceedings{brogan2017spotting,
  author = {Brogan, J. and Bestagini, P. and Bharati, A. and Pinto, A. and Moreira, D. and Bowyer, K. and Flynn, P. and Rocha, A. and Scheirer, W.},
  booktitle = {IEEE International Conference on Image Processing (ICIP)},
  groups = {forensics},
  title = {Spotting the Difference: Context Retrieval and Analysis for Improved Forgery Detection and Localization},
  year = {2017}}

• S. Verde, S. Milani, P. Bestagini, and S. Tubaro, “Audio Phylogenetic Analysis using Geometric Transforms,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2017.
  [Bibtex]

  @inproceedings{verde2017audio,
  author = {Verde, Sebastiano and Milani, Simone and Bestagini, Paolo and Tubaro, Stefano},
  booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)},
  groups = {forensics},
  title = {Audio Phylogenetic Analysis using Geometric Transforms},
  year = {2017}}

• L. Bondi, F. Perez-Gonzalez, P. Bestagini, and S. Tubaro, “Design of Projection Matrices for PRNU Compression,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2017.
  [Bibtex]

  @inproceedings{bondi2017design,
  author = {Bondi, Luca and Perez-Gonzalez, Fernando and Bestagini, Paolo and Tubaro, Stefano},
  booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)},
  groups = {forensics},
  title = {Design of Projection Matrices for PRNU Compression},
  year = {2017}}

• D. Güera, Y. Wang, L. Bondi, P. Bestagini, S. Tubaro, and E. J. Delp, “A Counter-Forensic Method for CNN-Based Camera Model Identification,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2017.
  [Bibtex]

  @InProceedings{gueera2017counter,
  author = {D. G{\"u}era and Y. Wang and L. Bondi and P. Bestagini and S. Tubaro and E. J. Delp},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop},
  title = {A Counter-Forensic Method for CNN-Based Camera Model Identification},
  year = {2017},
  doi = {10.1109/CVPRW.2017.230},
  bdsk-url-1 = {https://doi.org/10.1109/CVPRW.2017.230},
  groups = {forensics},
  }

• P. Bestagini, V. Lipari, and S. Tubaro, “A machine learning approach to facies classification using well logs,” in Society of Exploration Geophysicists International Exposition and Annual Meeting (SEG), 2017.
  [Bibtex]

  @inproceedings{bestagini2017machine,
  author = {Bestagini, Paolo and Lipari, Vincenzo and Tubaro, Stefano},
  booktitle = {Society of Exploration Geophysicists International Exposition and Annual Meeting (SEG)},
  doi = {10.1190/segam2017-17729805.1},
  eprint = {http://library.seg.org/doi/pdf/10.1190/segam2017-17729805.1},
  groups = {geophysics},
  title = {A machine learning approach to facies classification using well logs},
  year = {2017},
  Bdsk-Url-1 = {https://doi.org/10.1190/segam2017-17729805.1}}

• M. Barni, L. Bondi, N. Bonettini, P. Bestagini, A. Costanzo, M. Maggini, B. Tondi, and S. Tubaro, “Aligned and non-aligned double JPEG detection using convolutional neural networks,” Journal of Visual Communication and Image Representation, vol. 49, pp. 153-163, 2017.
  [Bibtex]

  @article{barni2017aligned,
  author = {M. Barni and L. Bondi and N. Bonettini and P. Bestagini and A. Costanzo and M. Maggini and B. Tondi and S. Tubaro},
  groups = {forensics},
  journal = {Journal of Visual Communication and Image Representation},
  pages = {153-163},
  title = {Aligned and non-aligned double {JPEG} detection using convolutional neural networks},
  volume = {49},
  year = {2017}}

• M. Compagnoni, A. Canclini, P. Bestagini, F. Antonacci, A. Sarti, and S. Tubaro, “Source localization and denoising: a perspective from the TDOA space,” Multidimensional Systems and Signal Processing, vol. 28, iss. 4, pp. 1283-1308, 2017.
  [Bibtex]

  @article{compagnoni2017source,
  author = {Compagnoni, M. and Canclini, A. and Bestagini, P. and Antonacci, F. and Sarti, A. and Tubaro, S.},
  doi = {10.1007/s11045-016-0400-9},
  groups = {audio, space-time},
  journal = {Multidimensional Systems and Signal Processing},
  number = {4},
  pages = {1283-1308},
  title = {Source localization and denoising: a perspective from the TDOA space},
  volume = {28},
  year = {2017},
  Bdsk-Url-1 = {https://doi.org/10.1007/s11045-016-0400-9}}

• M. Compagnoni, A. Pini, A. Canclini, P. Bestagini, F. Antonacci, S. Tubaro, and A. Sarti, “A Geometrical-Statistical Approach to Outlier Removal for TDOA Measurements,” IEEE Transactions on Signal Processing (TSP), vol. 65, iss. 15, pp. 3960-3975, 2017.
  [Bibtex]

  @article{compagnoni2017geometrical,
  art_number = {7919224},
  author = {Compagnoni, M. and Pini, A. and Canclini, A. and Bestagini, P. and Antonacci, F. and Tubaro, S. and Sarti, A.},
  doi = {10.1109/TSP.2017.2701311},
  groups = {audio, space-time},
  journal = {IEEE Transactions on Signal Processing (TSP)},
  number = {15},
  pages = {3960-3975},
  title = {A Geometrical-Statistical Approach to Outlier Removal for TDOA Measurements},
  volume = {65},
  year = {2017},
  Bdsk-Url-1 = {https://doi.org/10.1109/TSP.2017.2701311}}

• L. Bondi, S. Lameri, D. Güera, P. Bestagini, E. J. Delp, and S. Tubaro, “Tampering Detection and Localization Through Clustering of Camera-Based CNN Features,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2017.
  [Bibtex]

  @InProceedings{bondi2017tampering,
  author = {L. Bondi and S. Lameri and D. G{\"u}era and P. Bestagini and E. J. Delp and S. Tubaro},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop},
  title = {Tampering Detection and Localization Through Clustering of Camera-Based CNN Features},
  year = {2017},
  doi = {10.1109/CVPRW.2017.232},
  groups = {forensics},
  }

2016

• I. Amerini, P. Bestagini, L. Bondi, R. Caldelli, M. Casini, and S. Tubaro, “Smartphone Fingerprint by Mixing Device Sensors Features,” in IS&T Electronic Imaging (EI), 2016.
  [Bibtex]

  @inproceedings{amerini2016smartphone,
  author = {Amerini, Irene and Bestagini, Paolo and Bondi, Luca and Caldelli, Roberto and Casini, Matteo and Tubaro, Stefano},
  booktitle = {IS\&T Electronic Imaging (EI)},
  groups = {forensics},
  title = {Smartphone Fingerprint by Mixing Device Sensors Features},
  year = {2016}}

• P. Bestagini, M. Tagliasacchi, and S. Tubaro, “Image phylogeny tree reconstruction based on region selection,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016.
  [Bibtex]

  @inproceedings{bestagini2016image,
  author = {Bestagini, P. and Tagliasacchi, M. and Tubaro, S.},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  groups = {forensics},
  title = {Image phylogeny tree reconstruction based on region selection},
  year = {2016}}

• P. Bestagini, S. Milani, M. Tagliasacchi, and S. Tubaro, “Codec and GOP Identification in Double Compressed Videos,” IEEE Transactions on Image Processing (TIP), vol. 25, pp. 2298-2310, 2016.
  [Bibtex]

  @article{bestagini2016codec,
  author = {Bestagini, Paolo and Milani, Simone and Tagliasacchi, Marco and Tubaro, Stefano},
  doi = {10.1109/TIP.2016.2541960},
  groups = {forensics},
  journal = {IEEE Transactions on Image Processing (TIP)},
  pages = {2298-2310},
  title = {Codec and GOP Identification in Double Compressed Videos},
  volume = {25},
  year = {2016},
  Bdsk-Url-1 = {https://doi.org/10.1109/TIP.2016.2541960}}

• S. Lameri, P. Bestagini, and S. Tubaro, “Video alignment for phylogenetic analysis,” in European Signal Processing Conference (EUSIPCO), 2016.
  [Bibtex]

  @inproceedings{lameri2016video,
  author = {S. Lameri and P. Bestagini and S. Tubaro},
  booktitle = {European Signal Processing Conference (EUSIPCO)},
  doi = {10.1109/EUSIPCO.2016.7760650},
  groups = {forensics},
  title = {Video alignment for phylogenetic analysis},
  year = {2016},
  Bdsk-Url-1 = {https://doi.org/10.1109/EUSIPCO.2016.7760650}}

• S. Milani, P. Bestagini, and S. Tubaro, “Phylogenetic analysis of near-duplicate and semantically-similar images using viewpoint localization,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2016.
  [Bibtex]

  @inproceedings{milani2016phylogenetic,
  author = {S. Milani and P. Bestagini and S. Tubaro},
  booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)},
  doi = {10.1109/WIFS.2016.7823909},
  groups = {forensics},
  title = {Phylogenetic analysis of near-duplicate and semantically-similar images using viewpoint localization},
  year = {2016},
  Bdsk-Url-1 = {https://doi.org/10.1109/WIFS.2016.7823909}}

• F. O. d. Costa, S. Lameri, P. Bestagini, Z. Dias, S. Tubaro, and A. Rocha, “Hash-based frame selection for video phylogeny,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2016.
  [Bibtex]

  @inproceedings{o.costa2016hash,
  author = {F. d. O. Costa and S. Lameri and P. Bestagini and Z. Dias and S. Tubaro and A. Rocha},
  booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)},
  doi = {10.1109/WIFS.2016.7823906},
  groups = {forensics},
  title = {Hash-based frame selection for video phylogeny},
  year = {2016},
  Bdsk-Url-1 = {https://doi.org/10.1109/WIFS.2016.7823906}}

2015

• F. O. Costa, S. Lameri, P. Bestagini, S. Dias, A. Rocha, M. Tagliasacchi, and S. Tubaro, “Phylogeny reconstruction for misaligned and compressed video sequences,” in IEEE International Conference on Image Processing (ICIP), 2015.
  [Bibtex]

  @inproceedings{costa2015phylogeny,
  author = {Costa, F. O. and Lameri, S. and Bestagini, P. and Dias, S. and Rocha, A. and Tagliasacchi, M. and Tubaro, S.},
  booktitle = {IEEE International Conference on Image Processing (ICIP)},
  groups = {forensics},
  title = {Phylogeny reconstruction for misaligned and compressed video sequences},
  year = {2015}}

• A. Melloni, S. Lameri, P. Bestagini, M. Tagliasacchi, and S. Tubaro, “Near-duplicate detection and alignment for multi-view videos,” in IEEE International Conference on Image Processing (ICIP), 2015.
  [Bibtex]

  @inproceedings{melloni2015duplicate,
  author = {Melloni, A. and Lameri, S. and Bestagini, P. and Tagliasacchi, M. and Tubaro, S.},
  booktitle = {IEEE International Conference on Image Processing (ICIP)},
  groups = {forensics},
  title = {Near-duplicate detection and alignment for multi-view videos},
  year = {2015}}

• A. Canclini, P. Bestagini, F. Antonacci, M. Compagnoni, A. Sarti, and S. Tubaro, “A Robust and Low-Complexity Source Localization Algorithm for Asynchronous Distributed Microphone Networks,” IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), vol. 23, iss. 10, pp. 1563-1575, 2015.
  [Bibtex]

  @article{canclini2015robust,
  author = {Canclini, A. and Bestagini, P. and Antonacci, F. and Compagnoni, M. and Sarti, A. and Tubaro, S.},
  doi = {10.1109/TASLP.2015.2439040},
  groups = {audio, space-time},
  journal = {IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)},
  number = {10},
  pages = {1563-1575},
  title = {A Robust and Low-Complexity Source Localization Algorithm for Asynchronous Distributed Microphone Networks},
  volume = {23},
  year = {2015},
  Bdsk-Url-1 = {https://doi.org/10.1109/TASLP.2015.2439040}}

2014

• M. Buccoli, P. Bestagini, M. Zanoni, A. Sarti, and S. Tubaro, “Unsupervised feature learning for bootleg detection using deep learning architectures,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2014.
  [Bibtex]

  @inproceedings{buccoli2014unsupervised,
  author = {Buccoli, M. and Bestagini, P. and Zanoni, M. and Sarti, A. and Tubaro, S.},
  booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)},
  groups = {forensics},
  title = {Unsupervised feature learning for bootleg detection using deep learning architectures},
  year = {2014}}

• L. Gaborini, P. Bestagini, S. Milani, M. Tagliasacchi, and S. Tubaro, “Multi-Clue Image Tampering Localization,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2014.
  [Bibtex]

  @inproceedings{gaborini2014multi,
  author = {Gaborini, L. and Bestagini, P. and Milani, S. and Tagliasacchi, M. and Tubaro, S.},
  booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)},
  groups = {forensics},
  title = {Multi-Clue Image Tampering Localization},
  year = {2014}}

• S. Lameri, P. Bestagini, A. Melloni, S. Milani, A. Rocha, M. Tagliasacchi, and S. Tubaro, “Who is my parent? Reconstructing video sequences from partially matching shots,” in IEEE International Conference on Image Processing (ICIP), 2014.
  [Bibtex]

  @inproceedings{lameri2014who,
  author = {Lameri, S. and Bestagini, P. and Melloni, A. and Milani, S. and Rocha, A. and Tagliasacchi, M. and Tubaro, S.},
  booktitle = {IEEE International Conference on Image Processing (ICIP)},
  groups = {forensics},
  title = {Who is my parent? {Reconstructing} video sequences from partially matching shots},
  year = {2014}}

• A. Melloni, P. Bestagini, S. Milani, M. Tagliasacchi, A. Rocha, and S. Tubaro, “Image phylogeny through dissimilarity metrics fusion,” in European Workshop on Visual Information Processing (EUVIP), 2014.
  [Bibtex]

  @inproceedings{melloni2014image,
  author = {Melloni, A. and Bestagini, P. and Milani, S. and Tagliasacchi, M. and Rocha, A. and Tubaro, S.},
  booktitle = {European Workshop on Visual Information Processing (EUVIP)},
  groups = {forensics},
  title = {Image phylogeny through dissimilarity metrics fusion},
  year = {2014}}

• S. Milani, P. Bestagini, M. Tagliasacchi, and S. Tubaro, “Antiforensic synthesis of motion vecotrs using template algorithms,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014.
  [Bibtex]

  @inproceedings{milani2014antiforensic,
  author = {Milani, S. and Bestagini, P. and Tagliasacchi, M. and Tubaro, S.},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  groups = {forensics},
  title = {Antiforensic synthesis of motion vecotrs using template algorithms},
  year = {2014}}

• S. Milani, P. Bestagini, M. Tagliasacchi, and S. Tubaro, “Demosaicing strategy identification via eigenalgorithms,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014.
  [Bibtex]

  @inproceedings{milani2014demosaicing,
  author = {Milani, S. and Bestagini, P. and Tagliasacchi, M. and Tubaro, S.},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  groups = {forensics},
  title = {Demosaicing strategy identification via eigenalgorithms},
  year = {2014}}

• S. Milani, P. F. Piazza, P. Bestagini, and S. Tubaro, “Audio tampering detection using multimodal features,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014.
  [Bibtex]

  @inproceedings{milani2014audio,
  author = {Milani, S. and Piazza, P.F. and Bestagini, P. and Tubaro, S.},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  groups = {forensics},
  title = {Audio tampering detection using multimodal features},
  year = {2014}}

• P. Bestagini, M. Compagnoni, F. Antonacci, A. Sarti, and S. Tubaro, “TDOA-based acoustic source localization in the space-range reference frame,” Multidimensional Systems and Signal Processing, vol. 25, iss. 2, pp. 337-359, 2014.
  [Bibtex]

  @article{bestagini2014tdoa,
  author = {Bestagini, P. and Compagnoni, M. and Antonacci, F. and Sarti, A. and Tubaro, S.},
  doi = {10.1007/s11045-013-0233-8},
  groups = {audio, space-time},
  journal = {Multidimensional Systems and Signal Processing},
  number = {2},
  pages = {337-359},
  title = {{TDOA}-based acoustic source localization in the space-range reference frame},
  volume = {25},
  year = {2014},
  Bdsk-Url-1 = {https://doi.org/10.1007/s11045-013-0233-8}}

2013

• P. Bestagini, S. Battaglia, S. Milani, M. Tagliasacchi, and S. Tubaro, “Detection of temporal interpolation in video sequences,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2013.
  [Bibtex]

  @inproceedings{bestagini2013detection,
  author = {Bestagini, P. and Battaglia, S. and Milani, S. and Tagliasacchi, M. and Tubaro, S.},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  groups = {forensics},
  title = {Detection of temporal interpolation in video sequences},
  year = {2013}}

• P. Bestagini, S. Milani, M. Tagliasacchi, and S. Tubaro, “Video codec identification extending the idempotency property,” in European Workshop on Visual Information Processing (EUVIP), 2013.
  [Bibtex]

  @inproceedings{bestagini2013video,
  author = {Bestagini, P. and Milani, S. and Tagliasacchi, M. and Tubaro, S.},
  booktitle = {European Workshop on Visual Information Processing (EUVIP)},
  groups = {forensics},
  title = {Video codec identification extending the idempotency property},
  year = {2013}}

• P. Bestagini, S. Milani, M. Tagliasacchi, and S. Tubaro, “Local tampering detection in video sequences,” in IEEE International Workshop on Multimedia Signal Processing (MMSP), 2013.
  [Bibtex]

  @inproceedings{bestagini2013local,
  author = {Bestagini, P. and Milani, S. and Tagliasacchi, M. and Tubaro, S.},
  booktitle = {IEEE International Workshop on Multimedia Signal Processing (MMSP)},
  groups = {forensics},
  title = {Local tampering detection in video sequences},
  year = {2013}}

• P. Bestagini, M. Visentini-Scarzanella, M. Tagliasacchi, P. L. Dragotti, and S. Tubaro, “Video recapture detection based on ghosting artifact analysis,” in IEEE International Conference on Image Processing (ICIP), 2013.
  [Bibtex]

  @inproceedings{bestagini2013videoa,
  author = {Bestagini, P. and Visentini-Scarzanella, M. and Tagliasacchi, M. and Dragotti, P.L. and Tubaro, S.},
  booktitle = {IEEE International Conference on Image Processing (ICIP)},
  groups = {forensics},
  title = {Video recapture detection based on ghosting artifact analysis},
  year = {2013}}

• P. Bestagini, M. Zanoni, L. Albonico, A. Paganini, A. Sarti, and S. Tubaro, “Feature-Based Classification for Audio Bootlegs Detection,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2013.
  [Bibtex]

  @inproceedings{bestagini2013feature,
  author = {Bestagini, P. and Zanoni, M. and Albonico, L. and Paganini, A. and Sarti, A. and Tubaro, S.},
  booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)},
  groups = {forensics},
  title = {Feature-Based Classification for Audio Bootlegs Detection},
  year = {2013}}

• A. Melloni, P. Bestagini, A. Costanzo, M. Barni, M. Tagliasacchi, and S. Tubaro, “Attacking image classification based on Bag-of-Visual-Words,” in IEEE International Workshop on Information Forensics and Security (WIFS), 2013.
  [Bibtex]

  @inproceedings{melloni2013attacking,
  author = {Melloni, A. and Bestagini, P. and Costanzo, A. and Barni, M. and Tagliasacchi, M. and Tubaro, S.},
  booktitle = {IEEE International Workshop on Information Forensics and Security (WIFS)},
  groups = {forensics},
  title = {Attacking image classification based on Bag-of-Visual-Words},
  year = {2013}}

2012

• P. Bestagini, A. Allam, S. Milani, M. Tagliasacchi, and S. Tubaro, “Video codec identification,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012.
  [Bibtex]

  @inproceedings{bestagini2012video,
  author = {Bestagini, P. and Allam, A. and Milani, S. and Tagliasacchi, M. and Tubaro, S.},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  groups = {forensics},
  title = {Video codec identification},
  year = {2012}}

• P. Bestagini, M. Fontani, S. Milani, M. Barni, A. Piva, M. Tagliasacchi, and S. Tubaro, “An overview on video forensics,” in European Signal Processing Conference (EUSIPCO), 2012.
  [Bibtex]

  @inproceedings{bestagini2012overview,
  author = {Bestagini, P. and Fontani, M. and Milani, S. and Barni, M. and Piva, A. and Tagliasacchi, M. and Tubaro, S.},
  booktitle = {European Signal Processing Conference (EUSIPCO)},
  groups = {forensics},
  title = {An overview on video forensics},
  year = {2012}}

• S. Milani, P. Bestagini, M. Tagliasacchi, and S. Tubaro, “Multiple compression detection for video sequences,” in IEEE International Workshop on Multimedia Signal Processing (MMSP), 2012.
  [Bibtex]

  @inproceedings{milani2012multiple,
  author = {Milani, S. and Bestagini, P. and Tagliasacchi, M. and Tubaro, S.},
  booktitle = {IEEE International Workshop on Multimedia Signal Processing (MMSP)},
  groups = {forensics},
  title = {Multiple compression detection for video sequences},
  year = {2012}}

• S. Milani, M. Fontani, P. Bestagini, M. Barni, A. Piva, M. Tagliasacchi, and S. Tubaro, “An overview on video forensics,” APSIPA Transactions on Signal and Information Processing, vol. 1, p. e2, 2012.
  [Bibtex]

  @article{milani2012overview,
  author = {Milani, S. and Fontani, M. and Bestagini, P. and Barni, M. and Piva, A. and Tagliasacchi, M. and Tubaro, S.},
  groups = {forensics},
  journal = {APSIPA Transactions on Signal and Information Processing},
  pages = {e2},
  title = {An overview on video forensics},
  volume = {1},
  year = {2012}}

• M. Compagnoni, P. Bestagini, F. Antonacci, A. Sarti, and S. Tubaro, “Localization of Acoustic Sources Through the Fitting of Propagation Cones Using Multiple Independent Arrays,” IEEE Transactions on Audio, Speech, and Language Processing (TASLP), vol. 20, iss. 7, pp. 1964-1975, 2012.
  [Bibtex]

  @article{compagnoni2012localization,
  author = {Compagnoni, M. and Bestagini, P. and Antonacci, F. and Sarti, A. and Tubaro, S.},
  doi = {10.1109/TASL.2012.2191958},
  groups = {audio, space-time},
  journal = {IEEE Transactions on Audio, Speech, and Language Processing (TASLP)},
  number = {7},
  pages = {1964-1975},
  title = {Localization of Acoustic Sources Through the Fitting of Propagation Cones Using Multiple Independent Arrays},
  volume = {20},
  year = {2012},
  Bdsk-Url-1 = {https://doi.org/10.1109/TASL.2012.2191958}}

2011

• P. Annibale, F. Antonacci, P. Bestagini, A. Brutti, A. Canclini, L. Cristoforetti, E. A. P. Habets, J. Filos, W. Kellermann, K. Kowalczyk, A. Lombard, E. Mabande, D. Markovic, P. A. Naylor, M. Omologo, R. Rabenstein, A. Sarti, P. Svaizer, and M. R. P. Thomas, “The SCENIC project: Space-time audio processing for environment-aware acoustic sensing and rendering,” in Audio Engineering Society (AES) Convention, 2011, pp. 1142-1151.
  [Bibtex]

  @inproceedings{annibale2011scenic,
  author = {Annibale, P. and Antonacci, F. and Bestagini, P. and Brutti, A. and Canclini, A. and Cristoforetti, L. and Habets, E.A.P. and Filos, J. and Kellermann, W. and Kowalczyk, K. and Lombard, A. and Mabande, E. and Markovic, D. and Naylor, P.A. and Omologo, M. and Rabenstein, R. and Sarti, A. and Svaizer, P. and Thomas, M.R.P.},
  booktitle = {Audio Engineering Society (AES) Convention},
  groups = {audio, space-time},
  pages = {1142-1151},
  title = {The SCENIC project: Space-time audio processing for environment-aware acoustic sensing and rendering},
  volume = {2},
  year = {2011}}

2010

• S. D. Valente, M. Tagliasacchi, F. Antonacci, P. Bestagini, A. Sarti, and S. Tubaro, “Geometric calibration of distributed microphone arrays from acoustic source correspondences,” in IEEE International Workshop on Multimedia Signal Processing (MMSP), 2010, pp. 13-18.
  [Bibtex]

  @inproceedings{valente2010geometric,
  art_number = {5661986},
  author = {Valente, S.D. and Tagliasacchi, M. and Antonacci, F. and Bestagini, P. and Sarti, A. and Tubaro, S.},
  booktitle = {IEEE International Workshop on Multimedia Signal Processing (MMSP)},
  doi = {10.1109/MMSP.2010.5661986},
  groups = {audio, space-time},
  pages = {13-18},
  title = {Geometric calibration of distributed microphone arrays from acoustic source correspondences},
  year = {2010},
  Bdsk-Url-1 = {https://doi.org/10.1109/MMSP.2010.5661986}}