Bio

I received my B.Sc in Computer Science and Engineering from Università degli Studi di Modena e Reggio Emilia in 2014 and my M.Sc in Computer Science and Engineering from Politecnico di Milano in 2017. I joined Image and Sound Processing Group (ISPG) in 2017 as a Research Assistant, working on Multimedia Forensics. I was the assistant lecturer for Multimedia Signal Processing (2nd module) course in A.Y. 2019/20 and 2020/21.

I am currently a PhD student in Information Technology.

My research interests focus on signal processing applied to Food Contaminant Detection and Multimedia Forensics.

Publications

Journal Papers

  1. M. Barni, L. Bondi, N. Bonettini, P. Bestagini, A. Costanzo, M. Maggini, B. Tondi, S. Tubaro, “Aligned and Non-Aligned Double JPEG Detection Using Convolutional Neural Networks”, in Journal of Visual Communication and Image Representation (JVCI), 2017.
  2. E.D. Cannas, N. Bonettini, S. Mandelli, P. Bestagini, S. Tubaro, “Amplitude SAR Imagery Splicing Localization”, in IEEE Access, 2022.
  3. N. Bonettini, C. A. Gonano, P. Bestagini, M. Marcon, B. Garavelli, S. Tubaro, “Comparing AutoEncoder variants for real-time denoising of hyperspectral X-ray”, IEEE Sensors Journal, 2022.

Book Chapters

  1. S. Mandelli, N. Bonettini, P. Bestagini, “Source Camera Model Identification”, in Multimedia Forensics, Advances in Computer Vision and Pattern Recognition, Springer, 2022

Conference Papers

  1. N.Bonettini, C.A.Gonano, P.Bestagini, M.Marcon, B.Garavelli, S.Tubaro, “Multitask learning for denoising and analysis of X-ray polymer acquisitions”, European Signal Processing Conference (EUSIPCO), Dublin, Ireland, 2021
  2. N Bonettini, ED Cannas, S Mandelli, L Bondi, P Bestagini, S Tubaro, “Video Face Manipulation Detection Through Ensemble of CNNs”, International Conference on Pattern Recognition (ICPR), Milan, Italy, 2020.
  3. N Bonettini, P Bestagini, S Milani, S Tubaro, “On the use of Benford's law to detect GAN-generated images”, International Conference on Pattern Recognition (ICPR), Milan, Italy, 2020.
  4. S Mandelli, N Bonettini, P Bestagini, S Tubaro, “Training CNNs in Presence of JPEG Compression: Multimedia Forensics vs Computer Vision”, International Workshop on Information Forensics and Security (WIFS), New York, U.S.A., 2020.
  5. N. Bonettini, M. Paracchini, P. Bestagini, M. Marcon, S. Tubaro, “Hyperspectral X-ray Denoising: Model-Based and Data-Driven Solutions”, European Signal Processing Conference (EUSIPCO), La Coruna, Spain, 2019.
  6. N. Bonettini, D. Güera, L. Bondi, P. Bestagini, E. J. Delp, S. Tubaro, “Image Anonymization Detection With Deep Handcrafted Features“, IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 2019.
  7. N. Bonettini, L. Bondi, P. Bestagini, S. Tubaro, "JPEG Implementation Forensics Based on Eigen-Algorithms", International Workshop on Information Forensics and Security (WIFS), Hong Kong, 2018.
  8. N. Bonettini, L. Bondi, D. Güera, S. Mandelli, P. Bestagini, S. Tubaro, E. J. Delp, “Fooling PRNU-Based Detectors Through Convolutional Neural Networks”, European Signal Processing Conference (EUSIPCO), Rome, Italy, 2018.
  9. S. Mandelli, N. Bonettini, P. Bestagini, V. Lipari, S. Tubaro, “Multiple JPEG compression detection through task-driven non-negative matrix factorization”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Canada, 2018.

Contacts