Mitigating Accuracy-Robustness Trade-off via Balanced Multi-Teacher
Adversarial Distillation

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Mitigating Accuracy-Robustness Trade-off via Balanced Multi-Teacher Adversarial Distillation

28 June 2023

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Papers citing "Mitigating Accuracy-Robustness Trade-off via Balanced Multi-Teacher Adversarial Distillation"

9 / 9 papers shown

Title
Towards Class-wise Fair Adversarial Training via Anti-Bias Soft Label Distillation Shiji Zhao Chi Chen Ranjie Duan Xizhe Wang Xingxing Wei 18 0 0 10 Jun 2025
D2R: dual regularization loss with collaborative adversarial generation for model robustness Zhenyu Liu H. Liang R. Ranjan Zhanxing Zhu V. Snás̃el Varun Ojha 12 0 0 08 Jun 2025
Feature Statistics with Uncertainty Help Adversarial Robustness Ran A. Wang Xinlei Zhou Meng Hu Rihao Li Wenhui Wu Yuheng Jia AAML 122 0 0 26 Mar 2025
TransAgent: Transfer Vision-Language Foundation Models with Heterogeneous Agent Collaboration Yiwei Guo Shaobin Zhuang Kunchang Li Yu Qiao Yali Wang VLM CLIP 128 1 0 16 Oct 2024
Distilling Adversarial Robustness Using Heterogeneous Teachers Jieren Deng A. Palmer Rigel Mahmood Ethan Rathbun Jinbo Bi Kaleel Mahmood Derek Aguiar AAML 78 1 0 23 Feb 2024
Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation Shiji Zhao Xizhe Wang Xingxing Wei 56 3 0 09 Dec 2023
Towards Viewpoint-Invariant Visual Recognition via Adversarial Training Shouwei Ruan Yinpeng Dong Han Su Jianteng Peng Ning Chen Xingxing Wei OOD 77 10 0 16 Jul 2023
DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks Cai Kang Yinpeng Dong Zhengyi Wang Shouwei Ruan Yubo Chen Hang Su Xingxing Wei AAML DiffM 86 11 0 15 Jun 2023
Visually Adversarial Attacks and Defenses in the Physical World: A Survey Xingxing Wei Bangzheng Pu Jiefan Lu Baoyuan Wu AAML 148 11 0 03 Nov 2022