Robust Weight Perturbation for Adversarial Training

30 May 2022

Chaojian Yu

Bo Han

Biwei Huang

Li Shen

Shiming Ge

Bo Du

Tongliang Liu

AAML

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Papers citing "Robust Weight Perturbation for Adversarial Training"

23 / 23 papers shown

Title
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 28 1 0 19 Oct 2024
Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency Runqi Lin Chaojian Yu Bo Han Hang Su Tongliang Liu AAML 37 3 0 25 May 2024
Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization Runqi Lin Chaojian Yu Tongliang Liu AAML 32 9 0 11 Apr 2024
Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement Daiwei Yu Zhuorong Li Lina Wei Canghong Jin Yun Zhang Sixian Chan 37 5 0 14 Mar 2024
DPAdapter: Improving Differentially Private Deep Learning through Noise Tolerance Pre-training Zihao Wang Rui Zhu Dongruo Zhou Zhikun Zhang John C. Mitchell Haixu Tang Xiaofeng Wang AAML 45 6 0 05 Mar 2024
On the Duality Between Sharpness-Aware Minimization and Adversarial Training Yihao Zhang Hangzhou He Jingyu Zhu Huanran Chen Yifei Wang Zeming Wei AAML 37 9 0 23 Feb 2024
Data-Dependent Stability Analysis of Adversarial Training Yihan Wang Shuang Liu Xiao-Shan Gao 36 3 0 06 Jan 2024
Defenses in Adversarial Machine Learning: A Survey Baoyuan Wu Shaokui Wei Mingli Zhu Meixi Zheng Zihao Zhu Mingda Zhang Hongrui Chen Danni Yuan Li Liu Qingshan Liu AAML 30 14 0 13 Dec 2023
Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs James Hazelden Yuhan Helena Liu Eli Shlizerman E. Shea-Brown 44 2 0 17 Nov 2023
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing Ashutosh Nirala Ameya Joshi Chinmay Hegde S Sarkar VLM 36 0 0 15 Nov 2023
On the Over-Memorization During Natural, Robust and Catastrophic Overfitting Runqi Lin Chaojian Yu Bo Han Tongliang Liu 33 7 0 13 Oct 2023
Automated Essay Scoring in Argumentative Writing: DeBERTeachingAssistant Yann Hicke Tonghua Tian Karan Jha Choong Hee Kim 18 2 0 09 Jul 2023
Enhancing Adversarial Training via Reweighting Optimization Trajectory Tianjin Huang Shiwei Liu Tianlong Chen Meng Fang Lijuan Shen Vlaod Menkovski Lu Yin Yulong Pei Mykola Pechenizkiy AAML 24 4 0 25 Jun 2023
AROID: Improving Adversarial Robustness through Online Instance-wise Data Augmentation Lin Li Jianing Qiu Michael W. Spratling AAML 32 4 0 12 Jun 2023
Sharpness-Aware Minimization Alone can Improve Adversarial Robustness Zeming Wei Jingyu Zhu Yihao Zhang AAML 30 10 0 09 May 2023
Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware Minimization Mingli Zhu Shaokui Wei Li Shen Yanbo Fan Baoyuan Wu AAML 36 51 0 24 Apr 2023
Improved Adversarial Training Through Adaptive Instance-wise Loss Smoothing Lin Li Michael W. Spratling AAML 64 4 0 24 Mar 2023
Improving Model Generalization by On-manifold Adversarial Augmentation in the Frequency Domain Chang-rui Liu Wenzhao Xiang Yuan He H. Xue Shibao Zheng Hang Su 40 3 0 28 Feb 2023
Fusion of Global and Local Knowledge for Personalized Federated Learning Tiansheng Huang Li Shen Yan Sun Weiwei Lin Dacheng Tao FedML 56 12 0 21 Feb 2023
Beckman Defense A. V. Subramanyam OOD AAML 37 0 0 04 Jan 2023
Understanding Robust Overfitting of Adversarial Training and Beyond Chaojian Yu Bo Han Li Shen Jun Yu Chen Gong Biwei Huang Tongliang Liu OOD 11 56 0 17 Jun 2022
Squeeze Training for Adversarial Robustness Qizhang Li Yiwen Guo W. Zuo Hao Chen OOD 39 9 0 23 May 2022
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization Saehyung Lee Hyungyu Lee Sungroh Yoon AAML 161 113 0 05 Mar 2020