Ulrich Aïvodji

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 24

Top Venues

CoRR

NeurIPS

Mach. Learn.

IEEE Trans. Netw. Serv. Manag.

Paul Sabatier University, Toulouse, France (PHD)

Education History

Paul Sabatier University, Toulouse, France

PHD

Publications

Kokouvi Bénoît Nougnanke, Yann Labit, Marc Bruyere, Ulrich Aïvodji, Simone Ferlin
ML-Based Performance Modeling in SDN-Enabled Data Center Networks. IEEE Trans. Netw. Serv. Manag. 20 (1) (2023)
Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala
SoK: Taming the Triangle - On the Interplays between Fairness, Interpretability and Privacy in Machine Learning. CoRR (2023)
Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala
Improving fairness generalization through a sample-robust optimization method. Mach. Learn. 112 (6) (2023)
Julien Ferry, Gabriel Laberge, Ulrich Aïvodji
Learning Hybrid Interpretable Models: Theory, Taxonomy, and Methods. CoRR (2023)
Patrik Joslin Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji
Fairness Under Demographic Scarce Regime. CoRR (2023)
Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala
Probabilistic Dataset Reconstruction from Interpretable Models. CoRR (2023)
Gabriel Laberge, Ulrich Aïvodji, Satoshi Hara, Mario Marchand, Foutse Khomh
Fooling SHAP with Stealthily Biased Sampling. ICLR (2023)
Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala
Exploiting Fairness to Enhance Sensitive Attributes Reconstruction. CoRR (2022)
Ali Shahin Shamsabadi, Mohammad Yaghini, Natalie Dullerud, Sierra Wyllie, Ulrich Aïvodji, Aisha Alaagib, Sébastien Gambs, Nicolas Papernot
Washing The Unwashable : On The (Im)possibility of Fairwashing Detection. NeurIPS (2022)
Jessica Dai, Sohini Upadhyay, Ulrich Aïvodji, Stephen H. Bach, Himabindu Lakkaraju
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations. CoRR (2022)
Jessica Dai, Sohini Upadhyay, Ulrich Aïvodji, Stephen H. Bach, Himabindu Lakkaraju
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations. AIES (2022)
Gabriel Laberge, Ulrich Aïvodji, Satoshi Hara
Fooling SHAP with Stealthily Biased Sampling. CoRR (2022)
Ulrich Aïvodji, Julien Ferry, Sébastien Gambs, Marie-José Huguet, Mohamed Siala
Leveraging Integer Linear Programming to Learn Optimal Fair Rule Lists. CPAIOR (2022)
Ulrich Aïvodji, Hiromi Arai, Sébastien Gambs, Satoshi Hara
Characterizing the risk of fairwashing. CoRR (2021)
Ulrich Aïvodji, Julien Ferry, Sébastien Gambs, Marie-José Huguet, Mohamed Siala
FairCORELS, an Open-Source Library for Learning Fair Rule Lists. CIKM (2021)
Kokouvi Bénoît Nougnanke, Yann Labit, Marc Bruyere, Simone Ferlin, Ulrich Aïvodji
Learning-based Incast Performance Inference in Software-Defined Data Centers. ICIN (2021)
Ulrich Aïvodji, Hiromi Arai, Sébastien Gambs, Satoshi Hara
Characterizing the risk of fairwashing. NeurIPS (2021)
Ulrich Aïvodji, François Bidet, Sébastien Gambs, Rosin Claude Ngueveu, Alain Tapp
Local Data Debiasing for Fairness Based on Generative Adversarial Training. Algorithms 14 (3) (2021)
Ulrich Aïvodji, Alexandre Bolot, Sébastien Gambs
Model extraction from counterfactual explanations. CoRR (2020)
Ulrich Aïvodji, Hiromi Arai, Olivier Fortineau, Sébastien Gambs, Satoshi Hara, Alain Tapp
Fairwashing: the risk of rationalization. ICML (2019)
Ulrich Aïvodji, Hiromi Arai, Olivier Fortineau, Sébastien Gambs, Satoshi Hara, Alain Tapp
Fairwashing: the risk of rationalization. CoRR (2019)
Ulrich Aïvodji, François Bidet, Sébastien Gambs, Rosin Claude Ngueveu, Alain Tapp
Agnostic data debiasing through a local sanitizer learnt from an adversarial network approach. CoRR (2019)
Ulrich Aïvodji, Julien Ferry, Sébastien Gambs, Marie-José Huguet, Mohamed Siala
Learning Fair Rule Lists. CoRR (2019)
Ulrich Aïvodji, Sébastien Gambs, Timon Ther
GAMIN: An Adversarial Approach to Black-Box Model Inversion. CoRR (2019)

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Publication Activity (10 Years)

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Ulrich Aïvodji