The Many Faces of Adversarial Risk

22 January 2022

Papers citing "The Many Faces of Adversarial Risk"

10 / 10 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 32 3 0 22 Apr 2024
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 29 2 0 21 Feb 2023
Selecting Models based on the Risk of Damage Caused by Adversarial Attacks Jona Klemenc Holger Trittenbach AAML 26 1 0 28 Jan 2023
On adversarial robustness and the use of Wasserstein ascent-descent dynamics to enforce it Camilo A. Garcia Trillos Nicolas García Trillos 21 5 0 09 Jan 2023
Gamma-convergence of a nonlocal perimeter arising in adversarial machine learning Leon Bungert Kerrek Stinson 29 12 0 28 Nov 2022
When are Local Queries Useful for Robust Learning? Pascale Gourdeau Varun Kanade Marta Z. Kwiatkowska J. Worrell OOD 35 1 0 12 Oct 2022
The Consistency of Adversarial Training for Binary Classification Natalie Frank Jonathan Niles-Weed AAML 35 5 0 18 Jun 2022
The Multimarginal Optimal Transport Formulation of Adversarial Multiclass Classification Nicolas García Trillos Matt Jacobs Jakwang Kim OT 22 23 0 27 Apr 2022
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness Ahmadreza Jeddi M. Shafiee Michelle Karg C. Scharfenberger A. Wong OOD AAML 58 63 0 02 Mar 2020