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Feature Separation and Recalibration for Adversarial Robustness

Feature Separation and Recalibration for Adversarial Robustness

24 March 2023
Woo Jae Kim
Y. Cho
Junsik Jung
Sung-eui Yoon
    AAML
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Papers citing "Feature Separation and Recalibration for Adversarial Robustness"

3 / 3 papers shown
Title
Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness
Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness
Kejia Zhang
Juanjuan Weng
Yuanzheng Cai
Zhiming Luo
Shaozi Li
AAML
52
0
0
04 Jul 2024
Harmonizing Feature Maps: A Graph Convolutional Approach for Enhancing
  Adversarial Robustness
Harmonizing Feature Maps: A Graph Convolutional Approach for Enhancing Adversarial Robustness
Kejia Zhang
Juanjuan Weng
Junwei Wu
Guoqing Yang
Shaozi Li
Zhiming Luo
AAML
27
0
0
17 Jun 2024
Improving Adversarial Robustness via Decoupled Visual Representation
  Masking
Improving Adversarial Robustness via Decoupled Visual Representation Masking
Decheng Liu
Tao Chen
Chunlei Peng
Nannan Wang
Ruimin Hu
Xinbo Gao
AAML
33
1
0
16 Jun 2024
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