Adversarial Risk via Optimal Transport and Optimal Couplings

5 December 2019

Papers citing "Adversarial Risk via Optimal Transport and Optimal Couplings"

20 / 20 papers shown

Title
A Notion of Uniqueness for the Adversarial Bayes Classifier Natalie S. Frank 32 1 0 25 Apr 2024
A mean curvature flow arising in adversarial training Leon Bungert Tim Laux Kerrek Stinson AAML 35 3 0 22 Apr 2024
Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness Ambar Pal Huaijin Hao Rene Vidal 28 8 0 28 Sep 2023
It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness Peiyu Xiong Michael W. Tegegn Jaskeerat Singh Sarin Shubhraneel Pal Julia Rubin SILM AAML 37 8 0 17 Mar 2023
Characterizing the Optimal 0-1 Loss for Multi-class Classification with a Test-time Attacker Sihui Dai Wen-Luan Ding A. Bhagoji Daniel Cullina Ben Y. Zhao Haitao Zheng Prateek Mittal AAML 32 2 0 21 Feb 2023
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees James Queeney E. C. Ozcan I. Paschalidis Christos G. Cassandras OOD OffRL 31 5 0 31 Jan 2023
On adversarial robustness and the use of Wasserstein ascent-descent dynamics to enforce it Camilo A. Garcia Trillos Nicolas García Trillos 39 5 0 09 Jan 2023
Gamma-convergence of a nonlocal perimeter arising in adversarial machine learning Leon Bungert Kerrek Stinson 32 12 0 28 Nov 2022
Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models Marouane Il Idrissi Nicolas Bousquet Fabrice Gamboa Bertrand Iooss Jean-Michel Loubes 39 3 0 23 Sep 2022
The Multimarginal Optimal Transport Formulation of Adversarial Multiclass Classification Nicolas García Trillos Matt Jacobs Jakwang Kim OT 39 23 0 27 Apr 2022
Eikonal depth: an optimal control approach to statistical depths M. Molina-Fructuoso Ryan W. Murray MDE 26 4 0 14 Jan 2022
On the Existence of the Adversarial Bayes Classifier (Extended Version) Pranjal Awasthi Natalie Frank M. Mohri 31 24 0 03 Dec 2021
The Geometry of Adversarial Training in Binary Classification Leon Bungert Nicolas García Trillos Ryan W. Murray AAML 34 23 0 26 Nov 2021
Mixed Nash Equilibria in the Adversarial Examples Game Laurent Meunier M. Scetbon Rafael Pinot Jamal Atif Y. Chevaleyre AAML 23 29 0 13 Feb 2021
Fundamental Tradeoffs in Distributionally Adversarial Training M. Mehrabi Adel Javanmard Ryan A. Rossi Anup B. Rao Tung Mai AAML 20 18 0 15 Jan 2021
Adversarial Classification: Necessary conditions and geometric flows Nicolas García Trillos Ryan W. Murray AAML 37 19 0 21 Nov 2020
Precise Statistical Analysis of Classification Accuracies for Adversarial Training Adel Javanmard Mahdi Soltanolkotabi AAML 33 61 0 21 Oct 2020
Provable tradeoffs in adversarially robust classification Yan Sun Hamed Hassani David Hong Alexander Robey 23 53 0 09 Jun 2020
Adversarial Classification via Distributional Robustness with Wasserstein Ambiguity Nam Ho-Nguyen Stephen J. Wright OOD 50 16 0 28 May 2020
The Curious Case of Adversarially Robust Models: More Data Can Help, Double Descend, or Hurt Generalization Yifei Min Lin Chen Amin Karbasi AAML 37 69 0 25 Feb 2020