AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples

30 April 2024

Papers citing "AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples"

6 / 6 papers shown

Title
Rethinking Robustness in Machine Learning: A Posterior Agreement Approach João B. S. Carvalho Alessandro Torcinovich Victor Jimenez Rodriguez Antonio Emanuele Cinà Carlos Cotrini Lea Schönherr J. M. Buhmann OOD 63 0 0 20 Mar 2025
Sonic: Fast and Transferable Data Poisoning on Clustering Algorithms Francesco Villani Dario Lazzaro Antonio Emanuele Cinà Matteo DellÁmico Battista Biggio Fabio Roli 19 1 0 14 Aug 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors Peter Lorenz Mario Fernandez Jens Müller Ullrich Kothe AAML 60 1 0 21 Jun 2024
Mind the box: $l_1$ -APGD for sparse adversarial attacks on image classifiers Francesco Croce Matthias Hein AAML 37 54 0 01 Mar 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 207 668 0 19 Oct 2020
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 250 5,813 0 08 Jul 2016