Gambs, Sébastien

9 publications

ECML-PKDD 2025 P2NIA: Privacy-Preserving Non-Iterative Auditing Jade Garcia Bourrée, Hadrien Lautraite, Sébastien Gambs, Gilles Trédan, Erwan Le Merrer, Benoît Rottembourg

NeurIPS 2024 PANORAMIA: Privacy Auditing of Machine Learning Models Without Retraining Mishaal Kazmi, Hadrien Lautraite, Alireza Akbari, Qiaoyue Tang, Mauricio Soroco, Tao Wang, Sébastien Gambs, Mathias Lécuyer

ICLR 2023 Confidential-PROFITT: Confidential PROof of FaIr Training of Trees Ali Shahin Shamsabadi, Sierra Calanda Wyllie, Nicholas Franzese, Natalie Dullerud, Sébastien Gambs, Nicolas Papernot, Xiao Wang, Adrian Weller

MLJ 2023 Improving Fairness Generalization Through a Sample-Robust Optimization Method Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala

NeurIPS 2022 Washing the Unwashable : On the (Im)possibility of Fairwashing Detection Ali Shahin Shamsabadi, Mohammad Yaghini, Natalie Dullerud, Sierra Wyllie, Ulrich Aïvodji, Aisha Alaagib, Sébastien Gambs, Nicolas Papernot

NeurIPS 2021 Characterizing the Risk of Fairwashing Ulrich Aïvodji, Hiromi Arai, Sébastien Gambs, Satoshi Hara

ICML 2019 Fairwashing: The Risk of Rationalization Ulrich Aivodji, Hiromi Arai, Olivier Fortineau, Sébastien Gambs, Satoshi Hara, Alain Tapp

MLJ 2013 Quantum Speed-up for Unsupervised Learning Esma Aïmeur, Gilles Brassard, Sébastien Gambs

ICML 2007 Quantum Clustering Algorithms Esma Aïmeur, Gilles Brassard, Sébastien Gambs