Phone (office): +39 049 827 7774
Biography
Mattia Tamiazzo is a Ph.D. student in Information Engineering at the Department of Information Engineering of the University of Padova in collaboration with Amped Software.
He received his Bachelor’s degree in Computer Engineering in 2022 and his Master’s Degree (with honors) in Cybersecurity in 2024 from the University of Padova.
In 2024, he carried out a traineeship at Amped Software, where he developed his thesis project on the reliability of camera-based identification methods, focusing on PRNU-based techniques.
In 2025, he worked as a research fellow at the University of Padova and he is currently a Ph.D. student, with research interests in multimedia forensics, including audio deepfake detection and the application of machine learning techniques to forensic and investigative analysis.
Research areas
Multimedia Forensics
Analysis and identification of image, video, and audio content, with a focus on detecting synthetic media generated by deep learning techniques (e.g., GANs and deepfakes), including continual learning approaches for robust detection.
Authentication, privacy and fairness issues
Study of biometric systems, information leakage, and inference attacks on multimedia and generative models, including multimodal approaches for forensic augmentation, with attention to privacy, security, and fairness implications.
PUBLICATIONS
2026
Traceback Translators Against Forgetting in Continual Fake Speech Detection Proceedings Article Forthcoming
In: 2026 34rd European Signal Processing Conference (EUSIPCO), Forthcoming.
Explainable-by-Design Audio Deepfake Detection via Wiener-Hopf Linear Prediction Proceedings Article Forthcoming
In: Proceedings of the 2026 ACM Workshop on Information Hiding and Multimedia Security, Association for Computing Machinery, Firenze, Italy, Forthcoming.
TeLL-me what you cannot see: a vision-language framework for forensic mugshot augmentation Journal Article
In: Journal on Information Security, 2026, ISSN: 3091-4515.