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High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent

 Paul Mangold , Aurélien Bellet , Joseph Salmon , Marc Tommasi
AISTATS 2023 - International Conference on Artificial Intelligence and Statistics, Apr 2023, Valencia, Spain
Communication dans un congrès hal-03714465v3
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A Systematic Evaluation of Automated Tools for Side-Channel Vulnerabilities Detection in Cryptographic Libraries

 Antoine Geimer , Mathéo Vergnolle , Frédéric Recoules , Lesly-Ann Daniel , Sébastien Bardin , et al.
CCS 2023 - ACM SIGSAC Conference on Computer and Communications Security, Nov 2023, Copenhagen, Denmark. pp.1690-1704, ⟨10.1145/3576915.3623112⟩
Communication dans un congrès hal-04474774v1

FairGrad: Fairness Aware Gradient Descent

 Gaurav Maheshwari , Michaël Perrot
Transactions on Machine Learning Research Journal, 2023
Article dans une revue hal-03902196v1
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Differential Privacy has Bounded Impact on Fairness in Classification

 Paul Mangold , Michaël Perrot , Aurélien Bellet , Marc Tommasi
International Conference on Machine Learning, Jul 2023, Honolulu, United States
Communication dans un congrès hal-03902203v2

From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning

 Edwige Cyffers , Aurélien Bellet , Debabrota Basu
Proceedings of the 40th International Conference on Machine Learning (ICML), Jul 2023, Honolulu, United States
Communication dans un congrès hal-04260417v1
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Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration via Shift Reduction Lemmas

 Clément Pierquin , Aurélien Bellet , Marc Tommasi , Matthieu Boussard
2023
Pré-publication, Document de travail hal-04363020v1
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