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2203.06020
Cited By
Enhancing Adversarial Training with Second-Order Statistics of Weights
Computer Vision and Pattern Recognition (CVPR), 2022
11 March 2022
Gao Jin
Xinping Yi
Wei Huang
S. Schewe
Xiaowei Huang
AAML
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Papers citing
"Enhancing Adversarial Training with Second-Order Statistics of Weights"
33 / 33 papers shown
Test-Time Defense Against Adversarial Attacks via Stochastic Resonance of Latent Ensembles
Dong Lao
Yuxiang Zhang
Haniyeh Ehsani Oskouie
Yangchao Wu
Alex Wong
Stefano Soatto
AAML
142
0
0
03 Oct 2025
Reconcile Certified Robustness and Accuracy for DNN-based Smoothed Majority Vote Classifier
Gaojie Jin
Xinping Yi
Xiaowei Huang
AAML
137
1
0
30 Sep 2025
Shapley Uncertainty in Natural Language Generation
Meilin Zhu
Gaojie Jin
Xiaowei Huang
Lijun Zhang
151
0
0
29 Jul 2025
Long-tailed Adversarial Training with Self-Distillation
International Conference on Learning Representations (ICLR), 2025
Yujin Yang
Hongsin Lee
Changick Kim
AAML
TTA
1.1K
1
0
09 Mar 2025
Enhancing Robust Fairness via Confusional Spectral Regularization
International Conference on Learning Representations (ICLR), 2025
Gaojie Jin
Sihao Wu
Jiaxu Liu
Tianjin Huang
Ronghui Mu
522
3
0
22 Jan 2025
Adversarial Training: A Survey
Mengnan Zhao
Lihe Zhang
Jingwen Ye
Huchuan Lu
Baocai Yin
Xinchao Wang
AAML
307
11
0
19 Oct 2024
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors
European Conference on Computer Vision (ECCV), 2024
Tao Lin
Lijia Yu
Gaojie Jin
Renjue Li
Peng Wu
Lijun Zhang
AAML
271
2
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
266
0
0
10 Oct 2024
Tightening the Evaluation of PAC Bounds Using Formal Verification Results
Thomas Walker
A. Lomuscio
167
0
0
29 Jul 2024
Boosting Adversarial Training via Fisher-Rao Norm-based Regularization
Xiangyu Yin
Wenjie Ruan
AAML
177
12
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
235
1
0
25 Mar 2024
Catastrophic Overfitting: A Potential Blessing in Disguise
Mengnan Zhao
Lihe Zhang
Yuqiu Kong
Baocai Yin
AAML
224
1
0
28 Feb 2024
Towards Fairness-Aware Adversarial Learning
Yanghao Zhang
Tianle Zhang
Ronghui Mu
Xiaowei Huang
Wenjie Ruan
286
10
0
27 Feb 2024
Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off
Futa Waseda
Ching-Chun Chang
Isao Echizen
AAML
485
3
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
360
10
0
19 Feb 2024
Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement
Nuoyan Zhou
Dawei Zhou
Decheng Liu
Xinbo Gao
Nannan Wang
AAML
226
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
270
7
0
11 Dec 2023
Indirect Gradient Matching for Adversarial Robust Distillation
International Conference on Learning Representations (ICLR), 2023
Hongsin Lee
Yujin Yang
Changick Kim
AAML
FedML
297
3
0
06 Dec 2023
Generating Less Certain Adversarial Examples Improves Robust Generalization
Minxing Zhang
Michael Backes
Xiao Zhang
AAML
553
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
279
2
0
05 Oct 2023
Exploring Robust Features for Improving Adversarial Robustness
IEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2023
Hong Wang
Yuefan Deng
Shinjae Yoo
Lu Ma
AAML
334
5
0
09 Sep 2023
Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff
IEEE International Conference on Computer Vision (ICCV), 2023
Satoshi Suzuki
Shin'ya Yamaguchi
Shoichiro Takeda
Sekitoshi Kanai
Naoki Makishima
Atsushi Ando
Ryo Masumura
AAML
271
7
0
31 Aug 2023
TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models
IEEE International Conference on Computer Vision (ICCV), 2023
Liang Zhang
Nathaniel Xu
Pengfei Yang
Gao Jin
Cheng-Chao Huang
Lijun Zhang
319
13
0
11 Aug 2023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications
International Conference on Machine Learning (ICML), 2023
Anqi Mao
M. Mohri
Yutao Zhong
AAML
300
647
0
14 Apr 2023
Feature Separation and Recalibration for Adversarial Robustness
Computer Vision and Pattern Recognition (CVPR), 2023
Woo Jae Kim
Y. Cho
Junsik Jung
Sung-eui Yoon
AAML
350
35
0
24 Mar 2023
Randomized Adversarial Training via Taylor Expansion
Computer Vision and Pattern Recognition (CVPR), 2023
Gao Jin
Xinping Yi
Dengyu Wu
Ronghui Mu
Xiaowei Huang
AAML
319
54
0
19 Mar 2023
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning
AAAI Conference on Artificial Intelligence (AAAI), 2022
Ronghui Mu
Wenjie Ruan
Leandro Soriano Marcolino
Gaojie Jin
Q. Ni
275
7
0
22 Dec 2022
Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization
Computer Vision and Pattern Recognition (CVPR), 2022
Zifa Wang
Nan Ding
Tomer Levinboim
Xi Chen
Radu Soricut
AAML
179
7
0
22 Nov 2022
SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability
IEEE International Conference on Computer Vision (ICCV), 2022
Wei Huang
Xingyu Zhao
Gao Jin
Xiaowei Huang
AAML
365
37
0
19 Aug 2022
3DVerifier: Efficient Robustness Verification for 3D Point Cloud Models
Machine-mediated learning (ML), 2022
Ronghui Mu
Wenjie Ruan
Leandro Soriano Marcolino
Q. Ni
3DPC
239
12
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
283
6
0
23 Jan 2022
Domain Invariant Adversarial Learning
Matan Levi
Idan Attias
A. Kontorovich
AAML
OOD
517
12
0
01 Apr 2021
Formal Verification of Robustness and Resilience of Learning-Enabled State Estimation Systems
Neurocomputing (Neurocomputing), 2020
Wei Huang
Yifan Zhou
Alec Banks
Youcheng Sun
Jie Meng
James Sharp
Xiaowei Huang
333
3
0
16 Oct 2020
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