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Ulrich Aïvodji

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SoK: Taming the Triangle -- On the Interplays between Fairness, Interpretability and Privacy in Machine Learning

Dec 22, 2023
Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala

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Probabilistic Dataset Reconstruction from Interpretable Models

Aug 29, 2023
Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala

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Fairness Under Demographic Scarce Regime

Jul 24, 2023
Patrik Joslin Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji

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Learning Hybrid Interpretable Models: Theory, Taxonomy, and Methods

Mar 08, 2023
Julien Ferry, Gabriel Laberge, Ulrich Aïvodji

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Exploiting Fairness to Enhance Sensitive Attributes Reconstruction

Sep 02, 2022
Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala

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Fooling SHAP with Stealthily Biased Sampling

May 30, 2022
Gabriel Laberge, Ulrich Aïvodji, Satoshi Hara

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Characterizing the risk of fairwashing

Jun 14, 2021
Ulrich Aïvodji, Hiromi Arai, Sébastien Gambs, Satoshi Hara

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Model extraction from counterfactual explanations

Sep 03, 2020
Ulrich Aïvodji, Alexandre Bolot, Sébastien Gambs

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GAMIN: An Adversarial Approach to Black-Box Model Inversion

Sep 26, 2019
Ulrich Aïvodji, Sébastien Gambs, Timon Ther

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Learning Fair Rule Lists

Sep 09, 2019
Ulrich Aïvodji, Julien Ferry, Sébastien Gambs, Marie-José Huguet, Mohamed Siala

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