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Removing Adversarial Noise in Class Activation Feature Space

Removing Adversarial Noise in Class Activation Feature Space

19 April 2021
Dawei Zhou
N. Wang
Chunlei Peng
Xinbo Gao
Xiaoyu Wang
Jun Yu
Tongliang Liu
    AAML
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Papers citing "Removing Adversarial Noise in Class Activation Feature Space"

13 / 13 papers shown
Title
Artificial Immune System of Secure Face Recognition Against Adversarial
  Attacks
Artificial Immune System of Secure Face Recognition Against Adversarial Attacks
Min Ren
Yunlong Wang
Yuhao Zhu
Yongzhen Huang
Zhenan Sun
Qi Li
Tieniu Tan
37
2
0
26 Jun 2024
Imperceptible Face Forgery Attack via Adversarial Semantic Mask
Imperceptible Face Forgery Attack via Adversarial Semantic Mask
Decheng Liu
Qixuan Su
Chunlei Peng
Nannan Wang
Xinbo Gao
AAML
42
1
0
16 Jun 2024
Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial
  Training
Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training
Jiacheng Zhang
Feng Liu
Dawei Zhou
Jingfeng Zhang
Tongliang Liu
AAML
38
2
0
02 Jun 2024
Robust Overfitting Does Matter: Test-Time Adversarial Purification With
  FGSM
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM
Linyu Tang
Lei Zhang
AAML
16
3
0
18 Mar 2024
IDEA: Invariant Defense for Graph Adversarial Robustness
IDEA: Invariant Defense for Graph Adversarial Robustness
Shuchang Tao
Qi Cao
Huawei Shen
Yunfan Wu
Bingbing Xu
Xueqi Cheng
AAML
OOD
30
6
0
25 May 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks &
  Defenses
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses
Joana Cabral Costa
Tiago Roxo
Hugo Manuel Proença
Pedro R. M. Inácio
AAML
30
49
0
18 May 2023
EMShepherd: Detecting Adversarial Samples via Side-channel Leakage
EMShepherd: Detecting Adversarial Samples via Side-channel Leakage
Ruyi Ding
Gongye Cheng
Siyue Wang
A. A. Ding
Yunsi Fei
AAML
21
6
0
27 Mar 2023
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A
  Contemporary Survey
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey
Yulong Wang
Tong Sun
Shenghong Li
Xinnan Yuan
W. Ni
E. Hossain
H. Vincent Poor
AAML
24
18
0
11 Mar 2023
Cybersecurity of AI medical devices: risks, legislation, and challenges
Cybersecurity of AI medical devices: risks, legislation, and challenges
E. Biasin
Erik Kamenjašević
K. Ludvigsen
11
5
0
06 Mar 2023
Improving Adversarial Robustness via Mutual Information Estimation
Improving Adversarial Robustness via Mutual Information Estimation
Dawei Zhou
Nannan Wang
Xinbo Gao
Bo Han
Xiaoyu Wang
Yibing Zhan
Tongliang Liu
AAML
8
15
0
25 Jul 2022
Perturbation Inactivation Based Adversarial Defense for Face Recognition
Perturbation Inactivation Based Adversarial Defense for Face Recognition
Min Ren
Yuhao Zhu
Yunlong Wang
Zhenan Sun
AAML
4
12
0
13 Jul 2022
Modeling Adversarial Noise for Adversarial Training
Modeling Adversarial Noise for Adversarial Training
Dawei Zhou
Nannan Wang
Bo Han
Tongliang Liu
AAML
24
15
0
21 Sep 2021
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
256
3,109
0
04 Nov 2016
1