Ulrich Aïvodji

39 papers A* 4A 1B 1C 1Misc 1Journal 27Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Towards Fair In-Context Learning with Tabular Foundation Models. Trans. Mach. Learn. Res. Patrik Joslin Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji
2025	—	`ed.`	38th Canadian Conference on Artificial Intelligence, Canadian AI 2025, Calgary, AB, Canada, May 26-29, 2025, Proceedings Canadian AI Paula Branco, Amine Trabelsi, Kristina L. Kupferschmidt, Ulrich Aïvodji, Hussein Al Osman
2025	J	`jnl`	Adaptive Group Robust Ensemble Knowledge Distillation. Trans. Mach. Learn. Res. Patrik Joslin Kenfack, Ulrich Aïvodji, Samira Ebrahimi Kahou
2025	J	`jnl`	Conscious Data Contribution via Community-Driven Chain-of-Thought Distillation. CoRR Lena Libon, Meghana Bhange, Rushabh Solanki, Elliot Creager, Ulrich Aïvodji
2025	J	`jnl`	Crowding Out The Noise: Algorithmic Collective Action Under Differential Privacy. CoRR Rushabh Solanki, Meghana Bhange, Ulrich Aïvodji, Elliot Creager
2025	J	`jnl`	Taming the Triangle: On the Interplays Between Fairness, Interpretability, and Privacy in Machine Learning. Comput. Intell. Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala
2025	J	`jnl`	Towards Fair In-Context Learning with Tabular Foundation Models. CoRR Patrik Joslin Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji
2024	J	`jnl`	A Survey on Fairness Without Demographics. Trans. Mach. Learn. Res. Patrik Joslin Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji
2024	J	`jnl`	Adaptive Group Robust Ensemble Knowledge Distillation. CoRR Patrik Joslin Kenfack, Ulrich Aïvodji, Samira Ebrahimi Kahou
2024	J	`jnl`	Fairness Under Demographic Scarce Regime. Trans. Mach. Learn. Res. Patrik Joslin Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji
2024	J	`jnl`	Learning Hybrid Interpretable Models: Theory, Taxonomy, and Methods. Trans. Mach. Learn. Res. Julien Ferry, Gabriel Laberge, Ulrich Aïvodji
2024	—	`conf`	Probabilistic Dataset Reconstruction from Interpretable Models. SaTML Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala
2024	J	`jnl`	Smooth Sensitivity for Learning Differentially-Private yet Accurate Rule Lists. CoRR Timothée Ly, Julien Ferry, Marie-José Huguet, Sébastien Gambs, Ulrich Aïvodji
2023	—	`conf`	Exploiting Fairness to Enhance Sensitive Attributes Reconstruction. SaTML Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala
2023	J	`jnl`	Fairness Under Demographic Scarce Regime. CoRR Patrik Joslin Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji
2023	A*	`conf`	Fooling SHAP with Stealthily Biased Sampling. ICLR Gabriel Laberge, Ulrich Aïvodji, Satoshi Hara, Mario Marchand, Foutse Khomh
2023	J	`jnl`	Improving fairness generalization through a sample-robust optimization method. Mach. Learn. Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala
2023	J	`jnl`	Learning Hybrid Interpretable Models: Theory, Taxonomy, and Methods. CoRR Julien Ferry, Gabriel Laberge, Ulrich Aïvodji
2023	J	`jnl`	ML-Based Performance Modeling in SDN-Enabled Data Center Networks. IEEE Trans. Netw. Serv. Manag. Kokouvi Bénoît Nougnanke, Yann Labit, Marc Bruyere, Ulrich Aïvodji, Simone Ferlin
2023	J	`jnl`	Probabilistic Dataset Reconstruction from Interpretable Models. CoRR Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala
2023	J	`jnl`	SoK: Taming the Triangle - On the Interplays between Fairness, Interpretability and Privacy in Machine Learning. CoRR Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala
2022	J	`jnl`	Exploiting Fairness to Enhance Sensitive Attributes Reconstruction. CoRR Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala
2022	C	`conf`	Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations. AIES Jessica Dai, Sohini Upadhyay, Ulrich Aïvodji, Stephen H. Bach, Himabindu Lakkaraju
2022	J	`jnl`	Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations. CoRR Jessica Dai, Sohini Upadhyay, Ulrich Aïvodji, Stephen H. Bach, Himabindu Lakkaraju
2022	J	`jnl`	Fooling SHAP with Stealthily Biased Sampling. CoRR Gabriel Laberge, Ulrich Aïvodji, Satoshi Hara, Mario Marchand, Foutse Khomh
2022	B	`conf`	Leveraging Integer Linear Programming to Learn Optimal Fair Rule Lists. CPAIOR Ulrich Aïvodji, Julien Ferry, Sébastien Gambs, Marie-José Huguet, Mohamed Siala
2022	A*	`conf`	Washing The Unwashable : On The (Im)possibility of Fairwashing Detection. NeurIPS Ali Shahin Shamsabadi, Mohammad Yaghini, Natalie Dullerud, Sierra Calanda Wyllie, Ulrich Aïvodji, Aisha Alaagib, Sébastien Gambs, Nicolas Papernot
2021	A*	`conf`	Characterizing the risk of fairwashing. NeurIPS Ulrich Aïvodji, Hiromi Arai, Sébastien Gambs, Satoshi Hara
2021	J	`jnl`	Characterizing the risk of fairwashing. CoRR Ulrich Aïvodji, Hiromi Arai, Sébastien Gambs, Satoshi Hara
2021	A	`conf`	FairCORELS, an Open-Source Library for Learning Fair Rule Lists. CIKM Ulrich Aïvodji, Julien Ferry, Sébastien Gambs, Marie-José Huguet, Mohamed Siala
2021	Misc	`conf`	Learning-based Incast Performance Inference in Software-Defined Data Centers. ICIN Kokouvi Bénoît Nougnanke, Yann Labit, Marc Bruyere, Simone Ferlin, Ulrich Aïvodji
2021	J	`jnl`	Local Data Debiasing for Fairness Based on Generative Adversarial Training. Algorithms Ulrich Aïvodji, François Bidet, Sébastien Gambs, Rosin Claude Ngueveu, Alain Tapp
2020	J	`jnl`	Model extraction from counterfactual explanations. CoRR Ulrich Aïvodji, Alexandre Bolot, Sébastien Gambs
2019	J	`jnl`	Agnostic data debiasing through a local sanitizer learnt from an adversarial network approach. CoRR Ulrich Aïvodji, François Bidet, Sébastien Gambs, Rosin Claude Ngueveu, Alain Tapp
2019	A*	`conf`	Fairwashing: the risk of rationalization. ICML Ulrich Aïvodji, Hiromi Arai, Olivier Fortineau, Sébastien Gambs, Satoshi Hara, Alain Tapp
2019	J	`jnl`	Fairwashing: the risk of rationalization. CoRR Ulrich Aïvodji, Hiromi Arai, Olivier Fortineau, Sébastien Gambs, Satoshi Hara, Alain Tapp
2019	J	`jnl`	GAMIN: An Adversarial Approach to Black-Box Model Inversion. CoRR Ulrich Aïvodji, Sébastien Gambs, Timon Ther
2019	J	`jnl`	Learning Fair Rule Lists. CoRR Ulrich Aïvodji, Julien Ferry, Sébastien Gambs, Marie-José Huguet, Mohamed Siala
2018	—	`—`	Privacy-Enhancing Technologies for Ridesharing. (Technologies respectueuses de la vie privée pour le covoiturage). Ulrich Aïvodji