MultiRobustBench: Benchmarking Robustness Against Multiple Attacks

21 February 2023

Papers citing "MultiRobustBench: Benchmarking Robustness Against Multiple Attacks"

8 / 8 papers shown

Title
Learning from Mistakes: Self-correct Adversarial Training for Chinese Unnatural Text Correction Xuan Feng T. Gu Xiaoli Liu L. Chang 39 1 0 23 Dec 2024
Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks Andy Zhou Bo Li Haohan Wang AAML 43 72 0 30 Jan 2024
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks Meixi Zheng Xuanchen Yan Zihao Zhu Hongrui Chen Baoyuan Wu ELM MLAU AAML 34 8 0 28 Dec 2023
OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift Lin Li Yifei Wang Chawin Sitawarin Michael W. Spratling 24 0 0 19 Oct 2023
Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally Shawqi Al-Maliki Adnan Qayyum Hassan Ali M. Abdallah Junaid Qadir D. Hoang Dusit Niyato Ala I. Al-Fuqaha AAML 28 3 0 05 Oct 2023
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks Hanxun Huang Yisen Wang S. Erfani Quanquan Gu James Bailey Xingjun Ma AAML TPM 46 100 0 07 Oct 2021
Mind the box: $l_1$ -APGD for sparse adversarial attacks on image classifiers Francesco Croce Matthias Hein AAML 47 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 231 677 0 19 Oct 2020