Enhancing Adversarial Training with Second-Order Statistics of Weights

11 March 2022

Papers citing "Enhancing Adversarial Training with Second-Order Statistics of Weights"

33 / 33 papers shown

Title
Long-tailed Adversarial Training with Self-Distillation Seungju Cho Hongsin Lee Changick Kim AAML TTA 165 0 0 09 Mar 2025
Enhancing Robust Fairness via Confusional Spectral Regularization Gaojie Jin Sihao Wu Jiaxu Liu Tianjin Huang Ronghui Mu 74 1 0 22 Jan 2025
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 28 0 0 19 Oct 2024
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors Tao Lin Lijia Yu Gaojie Jin Renjue Li Peng Wu Lijun Zhang AAML 30 1 0 14 Oct 2024
Adversarial Robustness Overestimation and Instability in TRADES Jonathan Weiping Li Ren-Wei Liang Cheng-Han Yeh Cheng-Chang Tsai Kuanchun Yu Chun-Shien Lu Shang-Tse Chen AAML 48 0 0 10 Oct 2024
Tightening the Evaluation of PAC Bounds Using Formal Verification Results Thomas Walker A. Lomuscio 19 0 0 29 Jul 2024
Boosting Adversarial Training via Fisher-Rao Norm-based Regularization Xiangyu Yin Wenjie Ruan AAML 26 4 0 26 Mar 2024
Ensemble Adversarial Defense via Integration of Multiple Dispersed Low Curvature Models Kaikang Zhao Xi Chen Wei Huang Liuxin Ding Xianglong Kong Fan Zhang AAML 39 1 0 25 Mar 2024
Catastrophic Overfitting: A Potential Blessing in Disguise Mengnan Zhao Lihe Zhang Yuqiu Kong Baocai Yin AAML 39 1 0 28 Feb 2024
Towards Fairness-Aware Adversarial Learning Yanghao Zhang Tianle Zhang Ronghui Mu Xiaowei Huang Wenjie Ruan 29 4 0 27 Feb 2024
Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off Futa Waseda Ching-Chun Chang Isao Echizen AAML 29 0 0 22 Feb 2024
Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep Learning via Adversarial Training L. Park Jaeuk Kim Myung Gyo Oh Jaewoo Park T.-H. Kwon AAML 30 5 0 19 Feb 2024
Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement Nuoyan Zhou Dawei Zhou Decheng Liu Xinbo Gao Nannan Wang AAML 27 0 0 26 Jan 2024
Reward Certification for Policy Smoothed Reinforcement Learning Ronghui Mu Leandro Soriano Marcolino Tianle Zhang Yanghao Zhang Xiaowei Huang Wenjie Ruan 28 4 0 11 Dec 2023
Indirect Gradient Matching for Adversarial Robust Distillation Hongsin Lee Seungju Cho Changick Kim AAML FedML 48 2 0 06 Dec 2023
Generating Less Certain Adversarial Examples Improves Robust Generalization Minxing Zhang Michael Backes Xiao Zhang AAML 40 1 0 06 Oct 2023
Enhancing Robust Representation in Adversarial Training: Alignment and Exclusion Criteria Nuoyan Zhou Nannan Wang Decheng Liu Dawei Zhou Xinbo Gao AAML 26 2 0 05 Oct 2023
Exploring Robust Features for Improving Adversarial Robustness Hong Wang Yuefan Deng Shinjae Yoo Yuewei Lin AAML 21 4 0 09 Sep 2023
Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff Satoshi Suzuki Shinýa Yamaguchi Shoichiro Takeda Sekitoshi Kanai Naoki Makishima Atsushi Ando Ryo Masumura AAML 28 4 0 31 Aug 2023
TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models Liang Zhang Nathaniel Xu Pengfei Yang Gao Jin Cheng-Chao Huang Lijun Zhang 26 8 0 11 Aug 2023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications Anqi Mao M. Mohri Yutao Zhong AAML 21 273 0 14 Apr 2023
Feature Separation and Recalibration for Adversarial Robustness Woo Jae Kim Y. Cho Junsik Jung Sung-eui Yoon AAML 36 18 0 24 Mar 2023
Randomized Adversarial Training via Taylor Expansion Gao Jin Xinping Yi Dengyu Wu Ronghui Mu Xiaowei Huang AAML 36 34 0 19 Mar 2023
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning Ronghui Mu Wenjie Ruan Leandro Soriano Marcolino Gaojie Jin Q. Ni 35 5 0 22 Dec 2022
Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization Zifa Wang Nan Ding Tomer Levinboim Xi Chen Radu Soricut AAML 35 5 0 22 Nov 2022
SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability Wei Huang Xingyu Zhao Gao Jin Xiaowei Huang AAML 30 29 0 19 Aug 2022
3DVerifier: Efficient Robustness Verification for 3D Point Cloud Models Ronghui Mu Wenjie Ruan Leandro Soriano Marcolino Q. Ni 3DPC 22 10 0 15 Jul 2022
Weight Expansion: A New Perspective on Dropout and Generalization Gao Jin Xinping Yi Pengfei Yang Lijun Zhang S. Schewe Xiaowei Huang 27 5 0 23 Jan 2022
Domain Invariant Adversarial Learning Matan Levi Idan Attias A. Kontorovich AAML OOD 30 11 0 01 Apr 2021
Formal Verification of Robustness and Resilience of Learning-Enabled State Estimation Systems Wei Huang Yifan Zhou Alec Banks Youcheng Sun Jie Meng James Sharp Xiaowei Huang 11 3 0 16 Oct 2020
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization Saehyung Lee Hyungyu Lee Sungroh Yoon AAML 158 113 0 05 Mar 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 278 2,888 0 15 Sep 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 275 5,833 0 08 Jul 2016