Laurent Meunier
Laurent Meunier
MILES Team, LAMSADE Université Paris Dauphine
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Theoretical evidence for adversarial robustness through randomization
R Pinot, L Meunier, A Araujo, H Kashima, F Yger, C Gouy-Pailler, J Atif
Advances in Neural Information Processing Systems 32, 2019
Adversarial Attacks on Linear Contextual Bandits
E Garcelon *, B Roziere *, L Meunier *, J Tarbouriech, O Teytaud, ...
Advances in Neural Information Processing Systems 33, 2020
Advocating for Multiple Defense Strategies against Adversarial Examples
A Araujo, L Meunier, R Pinot, B Negrevergne
Workshop on Machine Learning for CyberSecurity (MLCS@ECML-PKDD), 2020
Yet another but more efficient black-box adversarial attack: tiling and evolution strategies
L Meunier, J Atif, O Teytaud
arXiv preprint arXiv:1910.02244, 2019
Black-box optimization revisited: Improving algorithm selection wizards through massive benchmarking
L Meunier, H Rakotoarison, PK Wong, B Roziere, J Rapin, O Teytaud, ...
IEEE Transactions on Evolutionary Computation 26 (3), 490-500, 2021
Mixed Nash Equilibria in the Adversarial Examples Game
L Meunier, M Scetbon, R Pinot, J Atif, Y Chevaleyre
International Conference on Machine Learning 2021, 2021
On the robustness of randomized classifiers to adversarial examples
R Pinot, L Meunier, F Yger, C Gouy-Pailler, Y Chevaleyre, J Atif
Machine Learning 111 (9), 3425-3457, 2022
A dynamical system perspective for Lipschitz neural networks
L Meunier, BJ Delattre, A Araujo, A Allauzen
International Conference on Machine Learning, 15484-15500, 2022
Adversarial robustness by design through analog computing and synthetic gradients
A Cappelli, R Ohana, J Launay, L Meunier, I Poli, F Krzakala
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
Equitable and Optimal Transport with Multiple Agents
M Scetbon *, L Meunier *, J Atif, M Cuturi
International Conference on Artificial Intelligence and Statistics, 2035-2043, 2021
On averaging the best samples in evolutionary computation
L Meunier, Y Chevaleyre, J Rapin, CW Royer, O Teytaud
International Conference on Parallel Problem Solving from Nature (PPSN), 2020
Variance Reduction for Better Sampling in Continuous Domains
L Meunier, C Doerr, J Rapin, O Teytaud
International Conference on Parallel Problem Solving from Nature (PPSN), 2020
ROPUST: improving robustness through fine-tuning with photonic processors and synthetic gradients
A Cappelli, J Launay, L Meunier, R Ohana, I Poli
arXiv preprint arXiv:2108.04217, 2021
Asymptotic convergence rates for averaging strategies
L Meunier, I Legheraba, Y Chevaleyre, O Teytaud
Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic …, 2021
An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings
M Scetbon, L Meunier, Y Romano
International Conference on Machine Learning, 19328-19346, 2022
Towards Consistency in Adversarial Classification
L Meunier, R Ettedgui, R Pinot, Y Chevaleyre, J Atif
arXiv preprint arXiv:2205.10022, 2022
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