Publications

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

Kokouvi Benoit Nougnanke, Yann Labit, Marc Bruyère, Simone Ferlin, Ulrich Aivodji (2021). Learning-based Incast Performance Inference in Software-Defined Data Centers. 2021 24th Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN).

Ulrich Aı̈vodji, Julien Ferry, Sébastien Gambs, Marie-José Huguet, Mohamed Siala (2021). FairCORELS, an Open-Source Library for Learning Fair Rule Lists. Proceedings of the 30th ACM International Conference on Information & Knowledge Management.

Ulrich Aı̈vodji, Hiromi Arai, Sébastien Gambs, Satoshi Hara (2021). Characterizing the risk of fairwashing. Conference on Neural Information Processing Systems.

Marco Fiore, Panagiota Katsikouli, Elli Zavou, Mathieu Cunche, Françoise Fessant, Dominique Le Hello, Ulrich Matchi Aivodji, Baptiste Olivier, Tony Quertier, Razvan Stanica (2020). Privacy in trajectory micro-data publishing: a survey. Transactions on Data Privacy.

Ulrich Aı̈vodji, Hiromi Arai, Olivier Fortineau, Sébastien Gambs, Satoshi Hara, Alain Tapp (2019). Fairwashing: the risk of rationalization. International Conference on Machine Learning.

Ulrich Matchi Aı̈vodji, Kévin Huguenin, Marie-José Huguet, Marc-Olivier Killijian (2018). Sride: A privacy-preserving ridesharing system. Proceedings of the 11th ACM Conference on Security & Privacy in Wireless and Mobile Networks.

Ulrich Matchi Aı̈vodji, Sébastien Gambs, Marie-José Huguet, Marc-Olivier Killijian (2016). Meeting points in ridesharing: A privacy-preserving approach. Transportation Research Part C: Emerging Technologies.