Publications

On the Inherent Anonymity of Gossiping
Rachid Guerraoui, Anne-Marie Kermarrec, Anastasiia Kucherenko, Rafael Pinot, Sasha Voitovych
Conference Paper DISC 2023
Robust Collaborative Learning with Linear Gradient Overhead
Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Lê Nguyên Hoang, Rafael Pinot, John Stephan
Conference Paper ICML 2023
On the Privacy-Robustness-Utility Trilemma in Distributed Learning
Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan
Conference Paper ICML 2023
Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity
Youssef Allouah, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan
Conference Paper AISTATS 2023
Towards Consistency in Adversarial Classification
Laurent Meunier, Raphael Ettedgui, Rafael Pinot, Yann Chevaleyre, Jamal Atif
Conference Paper Neurips 2022 (Spotlight)
On the robustness of randomized classifiers to adversarial examples
Rafael Pinot, Laurent Meunier, Florian Yger, Cédric Gouy-Pailler, Yann Chevaleyre, Jamal Atif
Journal Paper Machine Learning Journal
Byzantine Machine Learning Made Easy by Resilent Averaging of Momentums
Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan
Conference Paper ICML 2022
The Universal Gossip Fighter
Anastasiia Gorbunova, Rachid Guerraoui, Anne-Marie Kermarrec, Anastasiia Kucherenko, Rafael Pinot
Conference Paper IPDPS 2022
Differential Privacy and Byzantine Resilience in SGD: Do They Add Up?
Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, Sebastien Rouault, John Stephan
Conference Paper PODC 2021
Mixed Nash Equilibria in the Adversarial Examples Game
Laurent Meunier, Meyer Scetbon, Rafael Pinot, Jamal Atif, Yann Chevaleyre
Conference Paper ICML 2021
SPEED: Secure, PrivatE,and Efficient Deep learning
Arnaud Grivet-Sébert, Rafael Pinot, Martin Zuber, Cédric Gouy-Pailler, Renaud Sirdey
Journal Paper Machine Learning Journal Special Issue for ECML PKDD 2021
On the impact of randomization on robustness in machine learning
Rafael Pinot
PhD Thesis Slides
Advocating for Multiple Defense Strategies against Adversarial Examples
Alexandre Araujo, Laurent Meunier, Rafael Pinot, Benjamin Negrevergne
Workshop Paper MLCS at ECML2020
Randomization matters. How to defend against strong adversarial attacks
Rafael Pinot, Raphael Ettegui, Geovani Rizk, Yann Chevaleyre, Jamal Atif
Conference Paper ICML 2020
Theoretical evidence for adversarial robustness through randomization
Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cedric Gouy-Pailler, Jamal Atif
Conference Paper Neurips 2019
A unified view on differential privacy and robustness to adversarial examples
Rafael Pinot, Florian Yger, Cedric Gouy-Pailler, Jamal Atif
Workshop Paper MLCS at ECML2019
Robust Neural Networks using Randomized Adversarial Training
Alexandre Araujo, Laurent Meunier, Rafael Pinot, Benjamin Negrevergne
Preprint
Graph-based Clustering under Differential Privacy
Rafael Pinot, Anne Morvan, Florian Yger, Cedric Gouy-Pailler, Jamal Atif
Conference Paper UAI 2018
Minimum spanning tree release under differential privacy constraints
Rafael Pinot
Master Thesis
Nodes clustering in a graph under differential privacy constraints
Rafael Pinot
Abstract Paper JDSE 2017