Improving Robust Fairness via Balance Adversarial Training

Improving Robust Fairness via Balance Adversarial Training

15 September 2022

XiangLong Liu

Papers citing "Improving Robust Fairness via Balance Adversarial Training"

14 / 14 papers shown

Title
Adversarial Training for Multimodal Large Language Models against Jailbreak Attacks Liming Lu Shuchao Pang Siyuan Liang Haotian Zhu Xiyu Zeng Aishan Liu Yunhuai Liu Yongbin Zhou AAML 49 1 0 05 Mar 2025
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training Tejaswini Medi Steffen Jung M. Keuper AAML 29 3 0 30 Oct 2024
Efficient Backdoor Defense in Multimodal Contrastive Learning: A Token-Level Unlearning Method for Mitigating Threats Kuanrong Liu Siyuan Liang Jiawei Liang Pengwen Dai Xiaochun Cao MU AAML 31 1 0 29 Sep 2024
Towards Robust Object Detection: Identifying and Removing Backdoors via Module Inconsistency Analysis Xianda Zhang Siyuan Liang AAML 28 2 0 24 Sep 2024
Compromising Embodied Agents with Contextual Backdoor Attacks Aishan Liu Yuguang Zhou Xianglong Liu Tianyuan Zhang Siyuan Liang ... Tianlin Li Junqi Zhang Wenbo Zhou Qing-Wu Guo Dacheng Tao LLMAG AAML 34 7 0 06 Aug 2024
Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt Zonghao Ying Aishan Liu Tianyuan Zhang Zhengmin Yu Siyuan Liang Xianglong Liu Dacheng Tao AAML 33 26 0 06 Jun 2024
LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions Tianyuan Zhang Lu Wang Hainan Li Yisong Xiao Siyuan Liang Aishan Liu Xianglong Liu Dacheng Tao 40 11 0 03 Jun 2024
Effectiveness Assessment of Recent Large Vision-Language Models Yao Jiang Xinyu Yan Ge-Peng Ji Keren Fu Meijun Sun Huan Xiong Deng-Ping Fan Fahad Shahbaz Khan 27 14 0 07 Mar 2024
Towards Fairness-Aware Adversarial Learning Yanghao Zhang Tianle Zhang Ronghui Mu Xiaowei Huang Wenjie Ruan 24 4 0 27 Feb 2024
Hard Adversarial Example Mining for Improving Robust Fairness Chenhao Lin Xiang Ji Yulong Yang Q. Li Chao Shen Run Wang Liming Fang AAML 17 2 0 03 Aug 2023
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 217 674 0 19 Oct 2020
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 144 369 0 09 May 2020
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,108 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 250 5,830 0 08 Jul 2016