Optimization and Optimizers for Adversarial Robustness

23 March 2023

Papers citing "Optimization and Optimizers for Adversarial Robustness"

6 / 6 papers shown

Title
Unveiling and Mitigating Adversarial Vulnerabilities in Iterative Optimizers Elad Sofer Tomer Shaked Caroline Chaux Nir Shlezinger AAML 33 0 0 26 Apr 2025
$Optimization for Robustness Evaluation beyond $\ell_p$ Metrics$ Optimization for Robustness Evaluation beyond $\ell_p$ Metrics Hengyue Liang Buyun Liang Ying Cui Tim Mitchell Ju Sun AAML 11 3 0 02 Oct 2022
Mind the box: $l_1$ -APGD for sparse adversarial attacks on image classifiers Francesco Croce Matthias Hein AAML 40 54 0 01 Mar 2021
Recent Advances in Adversarial Training for Adversarial Robustness Tao Bai Jinqi Luo Jun Zhao B. Wen Qian Wang AAML 71 473 0 02 Feb 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 217 675 0 19 Oct 2020
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 226 1,835 0 03 Feb 2017