معرفی
Massimiliano Todisco is a Professor at EURECOM, specifically within the Digital Security Department, where he leads research in audio and speech technologies. His work focuses on enhancing security and privacy in voice-based systems through advanced machine learning techniques.
His research interests include voice biometric authentication, deepfake detection, and privacy-preserving technologies. He develops explainable deep neural network architectures and applies adversarial learning and generative AI to improve system robustness and transparency. These efforts are critical in combating synthetic media threats and securing identity verification systems.
The recent publications and research activities indicate a strong focus on biometric security, adversarial attacks on voice systems, and the application of AI in digital forensics. His work bridges theoretical innovation with practical deployment in secure environments.
- Speaker, LIAvignon 2025 Workshop on adversarial attacks in voice biometrics
- Invited lecturer, AI-DLDA 2025 International Summer School on voice deepfake detection
- Contributor, BIOSIG 2025 – International Conference on Biometrics
He is currently supervising PhD candidates and expanding his research team, with open positions advertised in voice biometrics, deepfake detection, and privacy preservation. While specific grants are not listed, his active recruitment and speaking engagements suggest ongoing funded research projects.
Massimiliano Todisco is part of the research team at EURECOM's Digital Security Department, contributing to cutting-edge projects in secure speech technologies and AI-driven biometric systems. The lab actively collaborates on international workshops and conferences, fostering a dynamic research environment.
