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2302.04025
Cited By
WAT: Improve the Worst-class Robustness in Adversarial Training
AAAI Conference on Artificial Intelligence (AAAI), 2023
8 February 2023
Boqi Li
Weiwei Liu
OOD
AAML
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Papers citing
"WAT: Improve the Worst-class Robustness in Adversarial Training"
16 / 16 papers shown
Sy-FAR: Symmetry-based Fair Adversarial Robustness
Haneen Najjar
Eyal Ronen
Mahmood Sharif
AAML
167
0
0
16 Sep 2025
Towards Class-wise Fair Adversarial Training via Anti-Bias Soft Label Distillation
Shiji Zhao
Chi Chen
Ranjie Duan
Xizhe Wang
Xingxing Wei
180
0
0
10 Jun 2025
Principal Eigenvalue Regularization for Improved Worst-Class Certified Robustness of Smoothed Classifiers
Gaojie Jin
Tianjin Huang
Ronghui Mu
Xiaowei Huang
AAML
300
0
0
21 Mar 2025
Deep Minimax Classifiers for Imbalanced Datasets with a Small Number of Minority Samples
IEEE Journal on Selected Topics in Signal Processing (JSTSP), 2025
Hansung Choi
Daewon Seo
229
0
0
24 Feb 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
508
3
0
22 Jan 2025
Towards Fair Class-wise Robustness: Class Optimal Distribution Adversarial Training
Hongxin Zhi
Hongtao Yu
Shaome Li
Xiuming Zhao
Yiteng Wu
OOD
270
2
0
08 Jan 2025
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Tejaswini Medi
Steffen Jung
Margret Keuper
AAML
423
5
0
30 Oct 2024
Adversarial Training: A Survey
Mengnan Zhao
Lihe Zhang
Jingwen Ye
Huchuan Lu
Baocai Yin
Xinchao Wang
AAML
303
10
0
19 Oct 2024
Robustness Reprogramming for Representation Learning
International Conference on Learning Representations (ICLR), 2024
Zhichao Hou
MohamadAli Torkamani
Hamid Krim
Xiaorui Liu
AAML
OOD
393
1
0
06 Oct 2024
Improving Fast Adversarial Training via Self-Knowledge Guidance
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2024
Chengze Jiang
Junkai Wang
Minjing Dong
Jie Gui
Xinli Shi
Yuan Cao
Yuan Yan Tang
James Tin-Yau Kwok
335
9
0
26 Sep 2024
Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment
Kejia Zhang
Juanjuan Weng
Shaozi Li
Shaozi Li
AAML
354
1
0
12 Aug 2024
Towards Fairness-Aware Adversarial Learning
Yanghao Zhang
Tianle Zhang
Ronghui Mu
Xiaowei Huang
Wenjie Ruan
278
10
0
27 Feb 2024
DAFA: Distance-Aware Fair Adversarial Training
International Conference on Learning Representations (ICLR), 2024
Hyungyu Lee
Saehyung Lee
Hyemi Jang
Junsung Park
Ho Bae
Sungroh Yoon
207
11
0
23 Jan 2024
Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation
Neural Information Processing Systems (NeurIPS), 2023
Shiji Zhao
Xizhe Wang
Xingxing Wei
219
9
0
09 Dec 2023
Generalization Bounds for Adversarial Contrastive Learning
Journal of machine learning research (JMLR), 2023
Xin Zou
Weiwei Liu
AAML
131
12
0
21 Feb 2023
Better Diffusion Models Further Improve Adversarial Training
International Conference on Machine Learning (ICML), 2023
Zekai Wang
Tianyu Pang
Chao Du
Min Lin
Weiwei Liu
Shuicheng Yan
DiffM
427
283
0
09 Feb 2023
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