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Julien Ferry
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2020 – today
- 2024
- [c6]Julien Ferry, Ricardo Fukasawa, Timothée Pascal, Thibaut Vidal:
Trained Random Forests Completely Reveal your Dataset. ICML 2024 - [c5]Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala:
Probabilistic Dataset Reconstruction from Interpretable Models. SaTML 2024: 1-17 - [i8]Julien Ferry, Ricardo Fukasawa
, Timothée Pascal, Thibaut Vidal:
Trained Random Forests Completely Reveal your Dataset. CoRR abs/2402.19232 (2024) - [i7]Timothée Ly, Julien Ferry, Marie-José Huguet, Sébastien Gambs, Ulrich Aïvodji:
Smooth Sensitivity for Learning Differentially-Private yet Accurate Rule Lists. CoRR abs/2403.13848 (2024) - 2023
- [b1]Julien Ferry:
Addressing Interpretability, Fairness and Privacy in Machine Learning Through Combinatorial Optimization Methods. (Adresser l'interprétabilité, l'équité et la protection de la vie privée en apprentissage machine au travers des méthodes d'optimisation combinatoire). Paul Sabatier University, Toulouse, France, 2023 - [j1]Julien Ferry
Improving fairness generalization through a sample-robust optimization method. Mach. Learn. 112(6): 2131-2192 (2023) - [c4]Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala:
Exploiting Fairness to Enhance Sensitive Attributes Reconstruction. SaTML 2023: 18-41 - [i6]Julien Ferry, Gabriel Laberge, Ulrich Aïvodji:
Learning Hybrid Interpretable Models: Theory, Taxonomy, and Methods. CoRR abs/2303.04437 (2023) - [i5]Julien Rouzot, Julien Ferry, Marie-José Huguet:
Learning Optimal Fair Scoring Systems for Multi-Class Classification. CoRR abs/2304.05023 (2023) - [i4]Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala:
Probabilistic Dataset Reconstruction from Interpretable Models. CoRR abs/2308.15099 (2023) - [i3]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 abs/2312.16191 (2023) - 2022
- [c3]Ulrich Aïvodji, Julien Ferry, Sébastien Gambs, Marie-José Huguet, Mohamed Siala:
Leveraging Integer Linear Programming to Learn Optimal Fair Rule Lists. CPAIOR 2022: 103-119 - [c2]Julien Rouzot, Julien Ferry, Marie-José Huguet:
Learning Optimal Fair Scoring Systems for Multi-Class Classification. ICTAI 2022: 197-204 - [i2]Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala
Exploiting Fairness to Enhance Sensitive Attributes Reconstruction. CoRR abs/2209.01215 (2022) - 2021
- [c1]Ulrich Aïvodji, Julien Ferry, Sébastien Gambs, Marie-José Huguet, Mohamed Siala
FairCORELS, an Open-Source Library for Learning Fair Rule Lists. CIKM 2021: 4665-4669
2010 – 2019
- 2019
- [i1]Ulrich Aïvodji, Julien Ferry, Sébastien Gambs, Marie-José Huguet, Mohamed Siala:
Learning Fair Rule Lists. CoRR abs/1909.03977 (2019)
Coauthor Index
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