Laurent Meunier

According to our database, Laurent Meunier authored at least 26 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Randomization for adversarial robustness: the Good, the Bad and the Ugly.

Lucas Gnecco Heredia, Yann Chevaleyre, Benjamin Négrevergne, Laurent Meunier

CoRR, 2023

On the Role of Randomization in Adversarially Robust Classification.

Lucas Gnecco Heredia, Muni Sreenivas Pydi, Laurent Meunier, Benjamin Négrevergne, Yann Chevaleyre

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Adversarial attacks: a theoretical journey. (Attaques adverses: un point de vue théorique).

Laurent Meunier

PhD thesis, 2022

Black-Box Optimization Revisited: Improving Algorithm Selection Wizards Through Massive Benchmarking.

Laurent Meunier, Herilalaina Rakotoarison, Pak-Kan Wong, Baptiste Rozière, Jérémy Rapin, Olivier Teytaud, Antoine Moreau, Carola Doerr

IEEE Trans. Evol. Comput., 2022

On the robustness of randomized classifiers to adversarial examples.

Rafael Pinot, Laurent Meunier, Florian Yger, Cédric Gouy-Pailler, Yann Chevaleyre, Jamal Atif

Mach. Learn., 2022

Towards Consistency in Adversarial Classification.

Laurent Meunier, Raphael Ettedgui, Rafael Pinot, Yann Chevaleyre, Jamal Atif

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings.

Meyer Scetbon, Laurent Meunier, Yaniv Romano

Proceedings of the International Conference on Machine Learning, 2022

A Dynamical System Perspective for Lipschitz Neural Networks.

Laurent Meunier, Blaise Delattre, Alexandre Araujo, Alexandre Allauzen

Proceedings of the International Conference on Machine Learning, 2022

Adversarial Robustness by Design Through Analog Computing And Synthetic Gradients.

Alessandro Cappelli, Ruben Ohana, Julien Launay, Laurent Meunier, Iacopo Poli, Florent Krzakala

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

An 𝓁^p-based Kernel Conditional Independence Test.

Meyer Scetbon, Laurent Meunier, Yaniv Romano

CoRR, 2021

Scalable Lipschitz Residual Networks with Convex Potential Flows.

Laurent Meunier, Blaise Delattre, Alexandre Araujo, Alexandre Allauzen

CoRR, 2021

ROPUST: Improving Robustness through Fine-tuning with Photonic Processors and Synthetic Gradients.

Alessandro Cappelli, Julien Launay, Laurent Meunier, Ruben Ohana, Iacopo Poli

CoRR, 2021

Mixed Nash Equilibria in the Adversarial Examples Game.

Laurent Meunier, Meyer Scetbon, Rafael Pinot, Jamal Atif, Yann Chevaleyre

Proceedings of the 38th International Conference on Machine Learning, 2021

Asymptotic convergence rates for averaging strategies.

Laurent Meunier, Iskander Legheraba, Yann Chevaleyre, Olivier Teytaud

Proceedings of the FOGA '21: Foundations of Genetic Algorithms XVI, 2021

Equitable and Optimal Transport with Multiple Agents.

Meyer Scetbon, Laurent Meunier, Jamal Atif, Marco Cuturi

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Handling Multiple Costs in Optimal Transport: Strong Duality and Efficient Computation.

Meyer Scetbon, Laurent Meunier, Jamal Atif, Marco Cuturi

CoRR, 2020

Proving μ>1.

Laurent Meunier, Yann Chevaleyre, Jérémy Rapin, Clément W. Royer, Olivier Teytaud

CoRR, 2020

Variance Reduction for Better Sampling in Continuous Domains.

Laurent Meunier, Carola Doerr, Jérémy Rapin, Olivier Teytaud

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

On Averaging the Best Samples in Evolutionary Computation.

Laurent Meunier, Yann Chevaleyre, Jérémy Rapin, Clément W. Royer, Olivier Teytaud

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Advocating for Multiple Defense Strategies Against Adversarial Examples.

Alexandre Araujo, Laurent Meunier, Rafael Pinot, Benjamin Négrevergne

Proceedings of the ECML PKDD 2020 Workshops, 2020

Adversarial Attacks on Linear Contextual Bandits.

Evrard Garcelon, Baptiste Rozière, Laurent Meunier, Jean Tarbouriech, Olivier Teytaud, Alessandro Lazaric, Matteo Pirotta

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Yet another but more efficient black-box adversarial attack: tiling and evolution strategies.

Laurent Meunier, Jamal Atif, Olivier Teytaud

CoRR, 2019

Robust Neural Networks using Randomized Adversarial Training.

Alexandre Araujo, Rafael Pinot, Benjamin Négrevergne, Laurent Meunier, Yann Chevaleyre, Florian Yger, Jamal Atif

CoRR, 2019

Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family.

Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif

CoRR, 2019

Theoretical evidence for adversarial robustness through randomization.

Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2003

The Shape of a Point Set in Three Dimensional Space.

Liang Chen, Mahmoud Melkemi, Laurent Meunier, Denis Vandorpe

Proceedings of the Sixth IASTED International Conference on Computer Graphics and Imaging, 2003