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MS

Mohamed Siala

9

Documents

Identifiants chercheurs

mohamed-siala
0000-0001-9503-4091
IdRef : 186243138

Présentation

Publications

50372

	Improving Fairness Generalization Through a Sample-Robust Optimization Method Ulrich Aïvodji , Julien Ferry , Sébastien Gambs , Marie-José Huguet , Mohamed Siala Machine Learning, 2023, Special Issue on Safe and Fair Machine Learning, 112 (6), pp.2131-2192. ⟨10.1007/s10994-022-06191-y⟩ Article dans une revue hal-03709547v1

	Probabilistic Dataset Reconstruction from Interpretable Models Julien Ferry , Ulrich Aïvodji , Sébastien Gambs , Marie-José Huguet , Mohamed Siala 2nd IEEE Conference on Secure and Trustworthy Machine Learning, Apr 2024, Toronto, Canada Communication dans un congrès hal-04189566v2
	Exploiting Fairness to Enhance Sensitive Attributes Reconstruction Julien Ferry , Ulrich Aïvodji , Sébastien Gambs , Marie-José Huguet , Mohamed Siala First IEEE Conference on Secure and Trustworthy Machine Learning, Feb 2023, Raleigh, North Carolina, United States. ⟨10.1109/SaTML54575.2023.00012⟩ Communication dans un congrès hal-03766710v2
	Exploiter l'équité d'un modèle d'apprentissage pour reconstruire les attributs sensibles de son ensemble d'entraînement Julien Ferry , Ulrich Aïvodji , Sébastien Gambs , Marie-José Huguet , Mohamed Siala Rencontres des Jeunes Chercheurs en Intelligence Artificielle (RJCIA/PFIA 2023), Jul 2023, Strasbourg, France Communication dans un congrès hal-04190265v1
	Leveraging Integer Linear Programming to Learn Optimal Fair Rule Lists Ulrich Aïvodji , Julien Ferry , Sébastien Gambs , Marie-José Huguet , Mohamed Siala 19th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR-2022), Jun 2022, Los Angeles, CA, United States Communication dans un congrès hal-03602234v1
	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, Virtual Event, Nov 2021, Queensland, Australia. pp.4665-4669, ⟨10.1145/3459637.3481965⟩ Communication dans un congrès hal-03427276v1
	Learning Optimal Decision Trees with MaxSAT and its Integration in AdaBoost Hao Hu , Mohamed Siala , Emmanuel Hébrard , Marie-José Huguet IJCAI-PRICAI 2020, 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence, Jul 2020, Yokohama, Japan Communication dans un congrès hal-02740415v1
	Towards Formal Fairness in Machine Learning Alexey Ignatiev , Martin Cooper , Mohamed Siala , Emmanuel Hébrard , Joao Marques-Silva 26th International Conference on Principles and Practice of Constraint Programming (CP 2020), Sep 2020, Louvain (online), Belgium. pp.846-867, ⟨10.1007/978-3-030-58475-7_49⟩ Communication dans un congrès hal-02950860v1

	SoK: Taming the Triangle - On the Interplays between Fairness, Interpretability and Privacy in Machine Learning Julien Ferry , Ulrich Aïvodji , Sébastien Gambs , Marie-José Huguet , Mohamed Siala 2023 Pré-publication, Document de travail hal-04359832v1