Laurent Meunier

35 papers A* 7A 2Misc 1Journal 20Unranked 4

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	On the Role of Randomization in Adversarially Robust Classification. NeurIPS Lucas Gnecco Heredia, Muni Sreenivas Pydi, Laurent Meunier, Benjamin Négrevergne, Yann Chevaleyre
2023	J	`jnl`	Randomization for adversarial robustness: the Good, the Bad and the Ugly. CoRR Lucas Gnecco Heredia, Yann Chevaleyre, Benjamin Négrevergne, Laurent Meunier
2022	A*	`conf`	A Dynamical System Perspective for Lipschitz Neural Networks. ICML Laurent Meunier, Blaise Delattre, Alexandre Araujo, Alexandre Allauzen
2022	Misc	`conf`	Adversarial Robustness by Design Through Analog Computing And Synthetic Gradients. ICASSP Alessandro Cappelli, Ruben Ohana, Julien Launay, Laurent Meunier, Iacopo Poli, Florent Krzakala
2022	—	`—`	Adversarial attacks: a theoretical journey. (Attaques adverses: un point de vue théorique). Laurent Meunier
2022	A*	`conf`	An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings. ICML Meyer Scetbon, Laurent Meunier, Yaniv Romano
2022	J	`jnl`	Black-Box Optimization Revisited: Improving Algorithm Selection Wizards Through Massive Benchmarking. IEEE Trans. Evol. Comput. Laurent Meunier, Herilalaina Rakotoarison, Pak-Kan Wong, Baptiste Rozière, Jérémy Rapin, Olivier Teytaud, Antoine Moreau, Carola Doerr
2022	J	`jnl`	On the robustness of randomized classifiers to adversarial examples. Mach. Learn. Rafael Pinot, Laurent Meunier, Florian Yger, Cédric Gouy-Pailler, Yann Chevaleyre, Jamal Atif
2022	A*	`conf`	Towards Consistency in Adversarial Classification. NeurIPS Laurent Meunier, Raphael Ettedgui, Rafael Pinot, Yann Chevaleyre, Jamal Atif
2022	J	`jnl`	Towards Consistency in Adversarial Classification. CoRR Laurent Meunier, Raphaël Ettedgui, Rafael Pinot, Yann Chevaleyre, Jamal Atif
2021	J	`jnl`	Adversarial Robustness by Design through Analog Computing and Synthetic Gradients. CoRR Alessandro Cappelli, Ruben Ohana, Julien Launay, Laurent Meunier, Iacopo Poli, Florent Krzakala
2021	J	`jnl`	An 𝓁 CoRR Meyer Scetbon, Laurent Meunier, Yaniv Romano
2021	A	`conf`	Asymptotic convergence rates for averaging strategies. FOGA Laurent Meunier, Iskander Legheraba, Yann Chevaleyre, Olivier Teytaud
2021	J	`jnl`	Asymptotic convergence rates for averaging strategies. CoRR Laurent Meunier, Iskander Legheraba, Yann Chevaleyre, Olivier Teytaud
2021	A	`conf`	Equitable and Optimal Transport with Multiple Agents. AISTATS Meyer Scetbon, Laurent Meunier, Jamal Atif, Marco Cuturi
2021	A*	`conf`	Mixed Nash Equilibria in the Adversarial Examples Game. ICML Laurent Meunier, Meyer Scetbon, Rafael Pinot, Jamal Atif, Yann Chevaleyre
2021	J	`jnl`	Mixed Nash Equilibria in the Adversarial Examples Game. CoRR Laurent Meunier, Meyer Scetbon, Rafael Pinot, Jamal Atif, Yann Chevaleyre
2021	J	`jnl`	On the robustness of randomized classifiers to adversarial examples. CoRR Rafael Pinot, Laurent Meunier, Florian Yger, Cédric Gouy-Pailler, Yann Chevaleyre, Jamal Atif
2021	J	`jnl`	ROPUST: Improving Robustness through Fine-tuning with Photonic Processors and Synthetic Gradients. CoRR Alessandro Cappelli, Julien Launay, Laurent Meunier, Ruben Ohana, Iacopo Poli
2021	J	`jnl`	Scalable Lipschitz Residual Networks with Convex Potential Flows. CoRR Laurent Meunier, Blaise Delattre, Alexandre Araujo, Alexandre Allauzen
2020	A*	`conf`	Adversarial Attacks on Linear Contextual Bandits. NeurIPS Evrard Garcelon, Baptiste Rozière, Laurent Meunier, Jean Tarbouriech, Olivier Teytaud, Alessandro Lazaric, Matteo Pirotta
2020	J	`jnl`	Adversarial Attacks on Linear Contextual Bandits. CoRR Evrard Garcelon, Baptiste Rozière, Laurent Meunier, Jean Tarbouriech, Olivier Teytaud, Alessandro Lazaric, Matteo Pirotta
2020	—	`conf`	Advocating for Multiple Defense Strategies Against Adversarial Examples. PKDD/ECML Workshops Alexandre Araujo, Laurent Meunier, Rafael Pinot, Benjamin Négrevergne
2020	J	`jnl`	Advocating for Multiple Defense Strategies against Adversarial Examples. CoRR Alexandre Araujo, Laurent Meunier, Rafael Pinot, Benjamin Négrevergne
2020	J	`jnl`	Black-Box Optimization Revisited: Improving Algorithm Selection Wizards through Massive Benchmarking. CoRR Laurent Meunier, Herilalaina Rakotoarison, Pak-Kan Wong, Baptiste Rozière, Jérémy Rapin, Olivier Teytaud, Antoine Moreau, Carola Doerr
2020	J	`jnl`	Handling Multiple Costs in Optimal Transport: Strong Duality and Efficient Computation. CoRR Meyer Scetbon, Laurent Meunier, Jamal Atif, Marco Cuturi
2020	—	`conf`	On Averaging the Best Samples in Evolutionary Computation. PPSN (2) Laurent Meunier, Yann Chevaleyre, Jérémy Rapin, Clément W. Royer, Olivier Teytaud
2020	J	`jnl`	Proving μ>1. CoRR Laurent Meunier, Yann Chevaleyre, Jérémy Rapin, Clément W. Royer, Olivier Teytaud
2020	—	`conf`	Variance Reduction for Better Sampling in Continuous Domains. PPSN (1) Laurent Meunier, Carola Doerr, Jérémy Rapin, Olivier Teytaud
2020	J	`jnl`	Variance Reduction for Better Sampling in Continuous Domains. CoRR Laurent Meunier, Carola Doerr, Jérémy Rapin, Olivier Teytaud
2019	J	`jnl`	Robust Neural Networks using Randomized Adversarial Training. CoRR Alexandre Araujo, Rafael Pinot, Benjamin Négrevergne, Laurent Meunier, Yann Chevaleyre, Florian Yger, Jamal Atif
2019	A*	`conf`	Theoretical evidence for adversarial robustness through randomization. NeurIPS Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif
2019	J	`jnl`	Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family. CoRR Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif
2019	J	`jnl`	Yet another but more efficient black-box adversarial attack: tiling and evolution strategies. CoRR Laurent Meunier, Jamal Atif, Olivier Teytaud
2003	—	`conf`	The Shape of a Point Set in Three Dimensional Space. Computer Graphics and Imaging Liang Chen, Mahmoud Melkemi, Laurent Meunier, Denis Vandorpe