Agnostic data debiasing through a local sanitizer learnt from an adversarial network approach. - Ulrich Aïvodji; François Bidet; Sébastien Gambs; Rosin Claude Ngueveu; Alain Tapp (CoRR, 2019)

DySan: Dynamically Sanitizing Motion Sensor Data Against Sensitive Inferences through Adversarial Networks. - Antoine Boutet; Carole Frindel; Sébastien Gambs; Théo Jourdan; Rosin Claude Ngueveu (AsiaCCS, 2021)

Local Data Debiasing for Fairness Based on Generative Adversarial Training. - Ulrich Aïvodji; François Bidet; Sébastien Gambs; Rosin Claude Ngueveu; Alain Tapp (Algorithms, 2021)

Fair mapping. - Sébastien Gambs; Rosin Claude Ngueveu (CoRR, 2022)