Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness

28 September 2023

Papers citing "Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness"

9 / 9 papers shown

Title
Can Implicit Bias Imply Adversarial Robustness? Hancheng Min René Vidal 22 3 0 24 May 2024
Certified Robustness against Sparse Adversarial Perturbations via Data Localization Ambar Pal René Vidal Jeremias Sulam 21 0 0 23 May 2024
Fermi-Bose Machine achieves both generalization and adversarial robustness Mingshan Xie Yuchen Wang Haiping Huang AAML 16 0 0 21 Apr 2024
Optimal Zero-Shot Detector for Multi-Armed Attacks Federica Granese Marco Romanelli Pablo Piantanida AAML 21 0 0 24 Feb 2024
A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models Cuong Dang Dung D. Le Thai Le AAML 10 2 0 18 Feb 2024
On robust overfitting: adversarial training induced distribution matters Runzhi Tian Yongyi Mao OOD 20 1 0 28 Nov 2023
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks Wei-An Lin Chun Pong Lau Alexander Levine Ramalingam Chellappa S. Feizi AAML 74 60 0 05 Sep 2020
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 175 271 0 03 Dec 2018
Adversarial examples from computational constraints Sébastien Bubeck Eric Price Ilya P. Razenshteyn AAML 60 228 0 25 May 2018