Data-driven Anonymization Process Applied to Time Series. - Vincent Thouvenot; Damien Nogues; Catherine Gouttas (SIMBig, 2017)

A Protocol for Secure Verification of Watermarks Embedded into Machine Learning Models. - Katarzyna Kapusta; Vincent Thouvenot; Olivier Bettan; Hugo Beguinet; Hugo Senet (IH&MMSec, 2021)

A Secure Federated Learning: Analysis of Different Cryptographic Tools. - Oana Stan; Vincent Thouvenot; Aymen Boudguiga; Katarzyna Kapusta; Martin Zuber; Renaud Sirdey (SECRYPT, 2022)

When Federated Learning Meets Watermarking: A Comprehensive Overview of Techniques for Intellectual Property Protection. - Mohammed Lansari; Reda Bellafqira; Katarzyna Kapusta; Vincent Thouvenot; Olivier Bettan; Gouenou Coatrieux (Mach. Learn. Knowl. Extr., 2023)

NEWSROOM: Towards Automating Cyber Situational Awareness Processes and Tools for Cyber Defence. - Markus Wurzenberger; Stephan Krenn; Max Landauer; Florian Skopik; Cora Lisa Perner; Jarno Lötjönen; Jani Päijänen; Georgios Gardikis; Nikos Alabasis; Liisa Sakerman; Kristiina Omri; Juha Röning; et al. (ARES, 2024)

SECURED for Health: Scaling Up Privacy to Enable the Integration of the European Health Data Space. - Francesco Regazzoni 001; Gergely Ács; Albert Zoltan Aszalos; Christos Avgerinos; Nikolaos Bakalos; Josep Lluis Berral; Joppe W. Bos; Marco Brohet; Andrés G. Castillo Sanz; Gareth T. Davies; Stefanos Florescu; Pierre-Elisée Flory; et al. (DATE, 2024)

A White-Box Watermarking Modulation for Encrypted DNN in Homomorphic Federated Learning. - Mohammed Lansari; Reda Bellafqira; Katarzyna Kapusta; Vincent Thouvenot; Olivier Bettan; Gouenou Coatrieux (SECRYPT, 2024)