Meunier, Laurent

10 publications

NeurIPS 2023 On the Role of Randomization in Adversarially Robust Classification Lucas Gnecco Heredia, Muni Sreenivas Pydi, Laurent Meunier, Benjamin Negrevergne, Yann Chevaleyre

ICML 2022 A Dynamical System Perspective for Lipschitz Neural Networks Laurent Meunier, Blaise J Delattre, Alexandre Araujo, Alexandre Allauzen

ICML 2022 An Asymptotic Test for Conditional Independence Using Analytic Kernel Embeddings Meyer Scetbon, Laurent Meunier, Yaniv Romano

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

AISTATS 2021 Equitable and Optimal Transport with Multiple Agents Meyer Scetbon, Laurent Meunier, Jamal Atif, Marco Cuturi

ICML 2021 Mixed Nash Equilibria in the Adversarial Examples Game Laurent Meunier, Meyer Scetbon, Rafael B Pinot, Jamal Atif, Yann Chevaleyre

ICMLW 2021 ROPUST: Improving Robustness Through Fine-Tuning with Photonic Processors and Synthetic Gradients Alessandro Cappelli, Ruben Ohana, Julien Launay, Laurent Meunier, Iacopo Poli

NeurIPS 2020 Adversarial Attacks on Linear Contextual Bandits Evrard Garcelon, Baptiste Roziere, Laurent Meunier, Jean Tarbouriech, Olivier Teytaud, Alessandro Lazaric, Matteo Pirotta

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