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Vincent Thouvenot
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Journal Articles
- 2023
- [j1]Mohammed Lansari, Reda Bellafqira, Katarzyna Kapusta, Vincent Thouvenot, Olivier Bettan, Gouenou Coatrieux:
When Federated Learning Meets Watermarking: A Comprehensive Overview of Techniques for Intellectual Property Protection. Mach. Learn. Knowl. Extr. 5(4): 1382-1406 (2023)
Conference and Workshop Papers
- 2024
- [c6]Markus Wurzenberger, Stephan Krenn, Max Landauer, Florian Skopik, Cora Perner, Jarno Lötjönen, Jani Päijänen, Georgios Gardikis, Nikos Alabasis, Liisa Sakerman, Kristiina Omri, Juha Röning, Kimmo Halunen, Vincent Thouvenot, Martin Weise, Andreas Rauber, Vasileios Gkioulos, Sokratis K. Katsikas, Luigi Sabetta, Jacopo Bonato, Rocío Ortíz, Daniel Navarro, Nikolaos Stamatelatos, Ioannis Avdoulas, Rudolf Mayer, Andreas Ekelhart, Ioannis Giannoulakis, Emmanouil Kafetzakis, Antonello Corsi, Ulrike Lechner, Corinna Schmitt:
NEWSROOM: Towards Automating Cyber Situational Awareness Processes and Tools for Cyber Defence. ARES 2024: 69:1-69:11 - [c5]Francesco Regazzoni, 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, Alberto Gutierrez-Torre, Evangelos Haleplidis, Alice Héliou, Sotirios Ioannidis, Alexander Islam El-Kady, Katarzyna Kapusta, Konstantina Karagianni, Pieter Kruizinga, Kyrian Maat, Zoltán Ádám Mann, Kalliopi Mastoraki, SeoJeong Moon, Maja Nisevic, Balázs Pejó, Kostas Papagiannopoulos, Vassilis Paliouras, Paolo Palmieri, Francesca Palumbo, Juan Carlos Pérez Baun, Péter Pollner, Eduard Porta-Pardo, Luca Pulina, Muhammad Ali Siddiqi, Daniela Spajic, Christos Strydis, Georgios Tasopoulos, Vincent Thouvenot, Christos Tselios, Apostolos P. Fournaris:
SECURED for Health: Scaling Up Privacy to Enable the Integration of the European Health Data Space. DATE 2024: 1-4 - [c4]Mohammed Lansari, Reda Bellafqira, Katarzyna Kapusta, Vincent Thouvenot, Olivier Bettan, Gouenou Coatrieux:
A White-Box Watermarking Modulation for Encrypted DNN in Homomorphic Federated Learning. SECRYPT 2024: 186-197 - 2022
- [c3]Oana Stan, Vincent Thouvenot, Aymen Boudguiga, Katarzyna Kapusta, Martin Zuber, Renaud Sirdey:
A Secure Federated Learning: Analysis of Different Cryptographic Tools. SECRYPT 2022: 669-674 - 2021
- [c2]Katarzyna Kapusta, Vincent Thouvenot, Olivier Bettan, Hugo Beguinet, Hugo Senet:
A Protocol for Secure Verification of Watermarks Embedded into Machine Learning Models. IH&MMSec 2021: 171-176 - 2017
- [c1]Vincent Thouvenot, Damien Nogues, Catherine Gouttas:
Data-driven Anonymization Process Applied to Time Series. SIMBig 2017: 80-90
Informal and Other Publications
- 2023
- [i1]Mohammed Lansari, Reda Bellafqira, Katarzyna Kapusta, Vincent Thouvenot, Olivier Bettan, Gouenou Coatrieux:
When Federated Learning meets Watermarking: A Comprehensive Overview of Techniques for Intellectual Property Protection. CoRR abs/2308.03573 (2023)
Coauthor Index
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