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Analysis and Applications of Class-wise Robustness in Adversarial
  Training

Analysis and Applications of Class-wise Robustness in Adversarial Training

29 May 2021
Qi Tian
Kun Kuang
Ke Jiang
Fei Wu
Yisen Wang
    AAML
ArXivPDFHTML

Papers citing "Analysis and Applications of Class-wise Robustness in Adversarial Training"

28 / 28 papers shown
Title
Towards Fair Class-wise Robustness: Class Optimal Distribution Adversarial Training
Towards Fair Class-wise Robustness: Class Optimal Distribution Adversarial Training
Hongxin Zhi
Hongtao Yu
Shaome Li
Xiuming Zhao
Yiteng Wu
OOD
30
0
0
08 Jan 2025
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training
Tejaswini Medi
Steffen Jung
M. Keuper
AAML
29
3
0
30 Oct 2024
Adversarial Training: A Survey
Adversarial Training: A Survey
Mengnan Zhao
Lihe Zhang
Jingwen Ye
Huchuan Lu
Baocai Yin
Xinchao Wang
AAML
28
0
0
19 Oct 2024
Understanding Implosion in Text-to-Image Generative Models
Understanding Implosion in Text-to-Image Generative Models
Wenxin Ding
Cathy Y. Li
Shawn Shan
Ben Y. Zhao
Haitao Zheng
31
0
0
18 Sep 2024
Efficient DNN-Powered Software with Fair Sparse Models
Efficient DNN-Powered Software with Fair Sparse Models
Xuanqi Gao
Weipeng Jiang
Juan Zhai
Shiqing Ma
Xiaoyu Zhang
Chao Shen
31
0
0
03 Jul 2024
Robustly Optimized Deep Feature Decoupling Network for Fatty Liver
  Diseases Detection
Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection
Peng Huang
Shu Hu
Bo Peng
Jiashu Zhang
Xi Wu
Xin Wang
31
5
0
25 Jun 2024
Towards White Box Deep Learning
Towards White Box Deep Learning
Maciej Satkiewicz
AAML
32
1
0
14 Mar 2024
DAFA: Distance-Aware Fair Adversarial Training
DAFA: Distance-Aware Fair Adversarial Training
Hyungyu Lee
Saehyung Lee
Hyemi Jang
Junsung Park
Ho Bae
Sungroh Yoon
31
6
0
23 Jan 2024
Improving Adversarial Robust Fairness via Anti-Bias Soft Label
  Distillation
Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation
Shiji Zhao
Xizhe Wang
Xingxing Wei
29
2
0
09 Dec 2023
Doubly Robust Instance-Reweighted Adversarial Training
Doubly Robust Instance-Reweighted Adversarial Training
Daouda Sow
Sen-Fon Lin
Zhangyang Wang
Yitao Liang
AAML
OOD
30
2
0
01 Aug 2023
Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic
  Adversarial Training
Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training
Fan Liu
Weijiao Zhang
Haowen Liu
AI4TS
OOD
10
9
0
25 Jun 2023
CILIATE: Towards Fairer Class-based Incremental Learning by Dataset and
  Training Refinement
CILIATE: Towards Fairer Class-based Incremental Learning by Dataset and Training Refinement
Xuan Gao
Juan Zhai
Shiqing Ma
Chao Shen
Yufei Chen
Shiwei Wang
8
2
0
09 Apr 2023
CFA: Class-wise Calibrated Fair Adversarial Training
CFA: Class-wise Calibrated Fair Adversarial Training
Zeming Wei
Yifei Wang
Yiwen Guo
Yisen Wang
AAML
37
49
0
25 Mar 2023
UnbiasedNets: A Dataset Diversification Framework for Robustness Bias
  Alleviation in Neural Networks
UnbiasedNets: A Dataset Diversification Framework for Robustness Bias Alleviation in Neural Networks
Mahum Naseer
B. Prabakaran
Osman Hasan
Muhammad Shafique
16
7
0
24 Feb 2023
Revisiting adversarial training for the worst-performing class
Revisiting adversarial training for the worst-performing class
Thomas Pethick
Grigorios G. Chrysos
V. Cevher
8
6
0
17 Feb 2023
WAT: Improve the Worst-class Robustness in Adversarial Training
WAT: Improve the Worst-class Robustness in Adversarial Training
Boqi Li
Weiwei Liu
OOD
AAML
11
25
0
08 Feb 2023
Understanding the Impact of Adversarial Robustness on Accuracy Disparity
Understanding the Impact of Adversarial Robustness on Accuracy Disparity
Yuzheng Hu
Fan Wu
Hongyang R. Zhang
Hang Zhao
26
8
0
28 Nov 2022
Deep Fake Detection, Deterrence and Response: Challenges and
  Opportunities
Deep Fake Detection, Deterrence and Response: Challenges and Opportunities
Amin Azmoodeh
Ali Dehghantanha
21
2
0
26 Nov 2022
Fairness-aware Regression Robust to Adversarial Attacks
Fairness-aware Regression Robust to Adversarial Attacks
Yulu Jin
Lifeng Lai
FaML
OOD
16
4
0
04 Nov 2022
Regional-Local Adversarially Learned One-Class Classifier Anomalous
  Sound Detection in Global Long-Term Space
Regional-Local Adversarially Learned One-Class Classifier Anomalous Sound Detection in Global Long-Term Space
Yuyang Sha
J. Faber
S. Gou
Bonnie M. Liu
Wei Li
...
T. Steckenreiter
D. Vnucec
Nadine Wetzstein
A. Widl
Kai Zhou
AAML
17
6
0
26 Feb 2022
Closer Look at the Transferability of Adversarial Examples: How They
  Fool Different Models Differently
Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently
Futa Waseda
Sosuke Nishikawa
Trung-Nghia Le
H. Nguyen
Isao Echizen
SILM
17
35
0
29 Dec 2021
On the Convergence and Robustness of Adversarial Training
On the Convergence and Robustness of Adversarial Training
Yisen Wang
Xingjun Ma
James Bailey
Jinfeng Yi
Bowen Zhou
Quanquan Gu
AAML
192
345
0
15 Dec 2021
Clustering Effect of (Linearized) Adversarial Robust Models
Clustering Effect of (Linearized) Adversarial Robust Models
Yang Bai
Xin Yan
Yong Jiang
Shutao Xia
Yisen Wang
OOD
AAML
26
4
0
25 Nov 2021
Fooling Adversarial Training with Inducing Noise
Fooling Adversarial Training with Inducing Noise
Zhirui Wang
Yifei Wang
Yisen Wang
15
14
0
19 Nov 2021
Why Do We Click: Visual Impression-aware News Recommendation
Why Do We Click: Visual Impression-aware News Recommendation
Jiahao Xun
Shengyu Zhang
Zhou Zhao
Jieming Zhu
Qi Zhang
Jingjie Li
Xiuqiang He
Xiaofei He
Tat-Seng Chua
Fei Wu
101
32
0
26 Sep 2021
Reliable Adversarial Distillation with Unreliable Teachers
Reliable Adversarial Distillation with Unreliable Teachers
Jianing Zhu
Jiangchao Yao
Bo Han
Jingfeng Zhang
Tongliang Liu
Gang Niu
Jingren Zhou
Jianliang Xu
Hongxia Yang
AAML
11
59
0
09 Jun 2021
A Unified Game-Theoretic Interpretation of Adversarial Robustness
A Unified Game-Theoretic Interpretation of Adversarial Robustness
Jie Ren
Die Zhang
Yisen Wang
Lu Chen
Zhanpeng Zhou
...
Xu Cheng
Xin Eric Wang
Meng Zhou
Jie Shi
Quanshi Zhang
AAML
64
22
0
12 Mar 2021
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial
  Training
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training
Lue Tao
Lei Feng
Jinfeng Yi
Sheng-Jun Huang
Songcan Chen
AAML
21
71
0
09 Feb 2021
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