Research

Research group

Current members

PhD

MSc

Publications

Conferences and Journals

Leveraging Integer Linear Programming to Learn Optimal Fair Rule Lists. Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, and Mohamed Siala. International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR), 2022
PDF arXiv
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations. Jessica Dai, Sohini Upadhyay, Ulrich Aïvodji, Stephen H. Bach, Himabindu Lakkaraju. AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2022
PDF
Improving Fairness Generalization Through a Sample-Robust Optimization Method. Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, and Mohamed Siala. Machine learning, 2022
PDF
Local Data Debiasing for Fairness Based on Generative Adversarial Training. Ulrich Aïvodji, François Bidet, Sébastien Gambs, Rosin C. Ngueveu, Alain Tapp. Algorithms 14(3), 87, 2021
PDF
Learning-based Incast Performance Inference in Software-Defined Data Centers. Kokouvi Benoit Nougnanke, Yann Labit, Marc Bruyere, Simone Ferlin, Ulrich Aïvodji. Conference on Innovation in Clouds, Internet and Networks (ICIN), 2021
PDF Best Paper Award
FairCORELS, an Open-Source Library for Learning Fair Rule Lists. Ulrich Aïvodji, Julien Ferry, Sébastien Gambs, Marie-José Huguet, Mohamed Siala. ACM International Conference on Information and Knowledge Management (CIKM, Demo Track), 2021
PDF Code
Characterizing the risk of fairwashing. Ulrich Aïvodji, Hiromi Arai, Sébastien Gambs, Satoshi Hara. Conference on Neural Information Processing Systems (NeurIPS), 2021
PDF arXiv
Privacy in trajectory micro-data publishing: a survey. Marco Fiore, Panagiota Katsikouli, Elli Zavou, Mathieu Cunche, Françoise Fessant, Dominique Le Hello, Ulrich Aïvodji, Baptiste Olivier, Tony Quertier, Razvan Stanica. Transactions on Data Privacy 13 (2), 91 - 149, 2020
PDF arXiv
Fairwashing: the risk of rationalization. Ulrich Aïvodji, Hiromi Arai, Olivier Fortineau, Sébastien Gambs, Satoshi Hara, Alain Tapp. International Conference on Machine Learning (ICML), 2019
PDF arXiv Code
Sride: A privacy-preserving ridesharing system. Ulrich Aïvodji, Kévin Huguenin, Marie-José Huguet, Marc-Olivier Killijian. ACM Conference on Security & Privacy in Wireless and Mobile Networks (WiSec), 2018
PDF
Meeting points in ridesharing: A privacy-preserving approach. Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Marc-Olivier Killijian. Transportation Research Part C: Emerging Technologies 72, 239-253, 2016
PDF

Workshops

Améliorer la généralisation de l'équité en apprentissage grâce à l'Optimisation Distributionnellement Robuste. Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala. 2021
Optimisation Distributionnellement Robuste pour améliorer la généralisation de l'équité en apprentissage. Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala. 2021
GAMIN: An Adversarial Approach to Black-Box Model Inversion. Ulrich Aïvodji, Sébastien Gambs, Timon Ther. 2020
IOTFLA : A secured and privacy-preserving smart home architecture implementing federated learning. Ulrich Aïvodji, Sébastien Gambs, Alexandre Martin. 2019
SRide: A Privacy-Preserving Ridesharing Method. Ulrich Aïvodji, Marie-José Huguet, Marc-Olivier Killijian. 2018
Privacy-Preserving matching for ridesharing. Ulrich Aïvodji, Kévin Huguenin, Marie-José Huguet, Marc-Olivier Killijian. 2017
Covoiturage respectueux de la vie privée. Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Marc-Olivier Killijian. 2016
Privacy-preserving carpooling. Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Marc-Olivier Killijian. 2015
Privacy-Preserving route synchronization for ridesharing. Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Marc-Olivier Killijian. 2015

Preprints

Model extraction from counterfactual explanations. Ulrich Aïvodji, Alexandre Bolot, Sébastien Gambs. 2020
Learning fair rule lists. Ulrich Aïvodji, Julien Ferry, Sébastien Gambs, Marie-José Huguet, Mohamed Siala. 2019

Press coverage

Academic Services

Fundings

ÉTS Montréal - Software and Information Technology Engineering Department

Startup Grant

September 2021 -- Present

Compute Canada

Default Resource Allocation Project

September 2021 -- Present

NSERC

Discovery Grant

April 2022 - March 2027

NSERC

Discovery Launch Supplement

April 2022 - March 2023