Pinot, Rafael

15 publications

AISTATS 2025 Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory Lucas Gnecco Heredia, Matteo Sammut, Muni Sreenivas Pydi, Rafael Pinot, Benjamin Negrevergne, Yann Chevaleyre

ICML 2024 Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates Youssef Allouah, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, Geovani Rizk, Sasha Voitovych

NeurIPS 2024 Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients Youssef Allouah, Abdellah El Mrini, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot

NeurIPS 2024 Revisiting Ensembling in One-Shot Federated Learning Youssef Allouah, Akash Dhasade, Rachid Guerraoui, Nirupam Gupta, Anne-Marie Kermarrec, Rafael Pinot, Rafael Pires, Rishi Sharma

AISTATS 2023 Fixing by Mixing: A Recipe for Optimal Byzantine ML Under Heterogeneity Youssef Allouah, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan

ICML 2023 On the Privacy-Robustness-Utility Trilemma in Distributed Learning Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan

ICML 2023 Robust Collaborative Learning with Linear Gradient Overhead Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Lê-Nguyên Hoang, Rafael Pinot, John Stephan

NeurIPS 2023 Robust Distributed Learning: Tight Error Bounds and Breakdown Point Under Data Heterogeneity Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, Geovani Rizk

ICML 2022 Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan

MLJ 2022 On the Robustness of Randomized Classifiers to Adversarial Examples Rafael Pinot, Laurent Meunier, Florian Yger, Cédric Gouy-Pailler, Yann Chevaleyre, Jamal Atif

NeurIPS 2022 Towards Consistency in Adversarial Classification Laurent Meunier, Raphael Ettedgui, Rafael Pinot, Yann Chevaleyre, Jamal Atif

MLJ 2021 SPEED: Secure, PrivatE, and Efficient Deep Learning Arnaud Grivet Sébert, Rafael Pinot, Martin Zuber, Cédric Gouy-Pailler, Renaud Sirdey

ICML 2020 Randomization Matters How to Defend Against Strong Adversarial Attacks Rafael Pinot, Raphael Ettedgui, Geovani Rizk, Yann Chevaleyre, Jamal Atif

NeurIPS 2019 Theoretical Evidence for Adversarial Robustness Through Randomization Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cedric Gouy-Pailler, Jamal Atif

UAI 2018 Graph-Based Clustering Under Differential Privacy Rafael Pinot, Anne Morvan, Florian Yger, Cédric Gouy-Pailler, Jamal Atif