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Laurent Meunier
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2020 – today
- 2023
- [c14]Lucas Gnecco Heredia, Muni Sreenivas Pydi, Laurent Meunier, Benjamin Négrevergne, Yann Chevaleyre:
On the Role of Randomization in Adversarially Robust Classification. NeurIPS 2023 - [i18]Lucas Gnecco Heredia, Yann Chevaleyre, Benjamin Négrevergne, Laurent Meunier:
Randomization for adversarial robustness: the Good, the Bad and the Ugly. CoRR abs/2302.07221 (2023) - 2022
- [b1]Laurent Meunier:
Adversarial attacks: a theoretical journey. (Attaques adverses: un point de vue théorique). PSL University, Paris, France, 2022 - [j2]Rafael Pinot
, Laurent Meunier, Florian Yger, Cédric Gouy-Pailler, Yann Chevaleyre, Jamal Atif:
On the robustness of randomized classifiers to adversarial examples. Mach. Learn. 111(9): 3425-3457 (2022) - [j1]Laurent Meunier
Black-Box Optimization Revisited: Improving Algorithm Selection Wizards Through Massive Benchmarking. IEEE Trans. Evol. Comput. 26(3): 490-500 (2022) - [c13]Alessandro Cappelli, Ruben Ohana, Julien Launay, Laurent Meunier, Iacopo Poli, Florent Krzakala
Adversarial Robustness by Design Through Analog Computing And Synthetic Gradients. ICASSP 2022: 3493-3497 - [c12]Laurent Meunier, Blaise Delattre, Alexandre Araujo, Alexandre Allauzen:
A Dynamical System Perspective for Lipschitz Neural Networks. ICML 2022: 15484-15500 - [c11]Meyer Scetbon, Laurent Meunier, Yaniv Romano:
An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings. ICML 2022: 19328-19346 - [c10]Laurent Meunier, Raphael Ettedgui, Rafael Pinot, Yann Chevaleyre, Jamal Atif:
Towards Consistency in Adversarial Classification. NeurIPS 2022 - [i17]Laurent Meunier, Raphaël Ettedgui, Rafael Pinot, Yann Chevaleyre, Jamal Atif:
Towards Consistency in Adversarial Classification. CoRR abs/2205.10022 (2022) - 2021
- [c9]Meyer Scetbon, Laurent Meunier, Jamal Atif, Marco Cuturi:
Equitable and Optimal Transport with Multiple Agents. AISTATS 2021: 2035-2043 - [c8]Laurent Meunier, Iskander Legheraba, Yann Chevaleyre, Olivier Teytaud:
Asymptotic convergence rates for averaging strategies. FOGA 2021: 1:1-1:11 - [c7]Laurent Meunier, Meyer Scetbon, Rafael Pinot, Jamal Atif, Yann Chevaleyre:
Mixed Nash Equilibria in the Adversarial Examples Game. ICML 2021: 7677-7687 - [i16]Alessandro Cappelli, Ruben Ohana, Julien Launay, Laurent Meunier, Iacopo Poli, Florent Krzakala:
Adversarial Robustness by Design through Analog Computing and Synthetic Gradients. CoRR abs/2101.02115 (2021) - [i15]Laurent Meunier, Meyer Scetbon, Rafael Pinot, Jamal Atif, Yann Chevaleyre:
Mixed Nash Equilibria in the Adversarial Examples Game. CoRR abs/2102.06905 (2021) - [i14]Rafael Pinot, Laurent Meunier, Florian Yger, Cédric Gouy-Pailler, Yann Chevaleyre, Jamal Atif:
On the robustness of randomized classifiers to adversarial examples. CoRR abs/2102.10875 (2021) - [i13]Alessandro Cappelli, Julien Launay, Laurent Meunier, Ruben Ohana, Iacopo Poli:
ROPUST: Improving Robustness through Fine-tuning with Photonic Processors and Synthetic Gradients. CoRR abs/2108.04217 (2021) - [i12]Laurent Meunier, Iskander Legheraba, Yann Chevaleyre, Olivier Teytaud:
Asymptotic convergence rates for averaging strategies. CoRR abs/2108.04707 (2021) - [i11]Laurent Meunier, Blaise Delattre, Alexandre Araujo, Alexandre Allauzen:
Scalable Lipschitz Residual Networks with Convex Potential Flows. CoRR abs/2110.12690 (2021) - [i10]Meyer Scetbon, Laurent Meunier, Yaniv Romano:
An 𝓁p-based Kernel Conditional Independence Test. CoRR abs/2110.14868 (2021) - 2020
- [c6]Evrard Garcelon, Baptiste Rozière, Laurent Meunier, Jean Tarbouriech, Olivier Teytaud, Alessandro Lazaric, Matteo Pirotta:
Adversarial Attacks on Linear Contextual Bandits. NeurIPS 2020 - [c5]Alexandre Araujo
Advocating for Multiple Defense Strategies Against Adversarial Examples. PKDD/ECML Workshops 2020: 165-177 - [c4]Laurent Meunier, Carola Doerr
Variance Reduction for Better Sampling in Continuous Domains. PPSN (1) 2020: 154-168 - [c3]Laurent Meunier, Yann Chevaleyre, Jérémy Rapin, Clément W. Royer, Olivier Teytaud:
On Averaging the Best Samples in Evolutionary Computation. PPSN (2) 2020: 661-674 - [i9]Evrard Garcelon, Baptiste Rozière, Laurent Meunier, Jean Tarbouriech, Olivier Teytaud, Alessandro Lazaric, Matteo Pirotta:
Adversarial Attacks on Linear Contextual Bandits. CoRR abs/2002.03839 (2020) - [i8]Laurent Meunier, Yann Chevaleyre, Jérémy Rapin, Clément W. Royer, Olivier Teytaud:
Proving μ>1. CoRR abs/2004.11685 (2020) - [i7]Laurent Meunier, Carola Doerr, Jérémy Rapin, Olivier Teytaud:
Variance Reduction for Better Sampling in Continuous Domains. CoRR abs/2004.11687 (2020) - [i6]Meyer Scetbon, Laurent Meunier, Jamal Atif, Marco Cuturi:
Handling Multiple Costs in Optimal Transport: Strong Duality and Efficient Computation. CoRR abs/2006.07260 (2020) - [i5]Laurent Meunier, Herilalaina Rakotoarison
Black-Box Optimization Revisited: Improving Algorithm Selection Wizards through Massive Benchmarking. CoRR abs/2010.04542 (2020) - [i4]Alexandre Araujo, Laurent Meunier, Rafael Pinot, Benjamin Négrevergne:
Advocating for Multiple Defense Strategies against Adversarial Examples. CoRR abs/2012.02632 (2020)
2010 – 2019
- 2019
- [c2]Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif:
Theoretical evidence for adversarial robustness through randomization. NeurIPS 2019: 11838-11848 - [i3]Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif:
Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family. CoRR abs/1902.01148 (2019) - [i2]Alexandre Araujo, Rafael Pinot, Benjamin Négrevergne, Laurent Meunier, Yann Chevaleyre, Florian Yger, Jamal Atif:
Robust Neural Networks using Randomized Adversarial Training. CoRR abs/1903.10219 (2019) - [i1]Laurent Meunier, Jamal Atif, Olivier Teytaud:
Yet another but more efficient black-box adversarial attack: tiling and evolution strategies. CoRR abs/1910.02244 (2019)
2000 – 2009
- 2003
- [c1]Liang Chen, Mahmoud Melkemi, Laurent Meunier, Denis Vandorpe:
The Shape of a Point Set in Three Dimensional Space. Computer Graphics and Imaging 2003: 218-223
Coauthor Index
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