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Consistency Regularization for Adversarial Robustness

Consistency Regularization for Adversarial Robustness

8 March 2021
Jihoon Tack
Sihyun Yu
Jongheon Jeong
Minseon Kim
S. Hwang
Jinwoo Shin
    AAML
ArXivPDFHTML

Papers citing "Consistency Regularization for Adversarial Robustness"

13 / 13 papers shown
Title
Long-tailed Adversarial Training with Self-Distillation
Seungju Cho
Hongsin Lee
Changick Kim
AAML
TTA
135
0
0
09 Mar 2025
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
57
0
0
04 Jul 2024
MEAT: Median-Ensemble Adversarial Training for Improving Robustness and
  Generalization
MEAT: Median-Ensemble Adversarial Training for Improving Robustness and Generalization
Zhaozhe Hu
Jia-Li Yin
Bin Chen
Luojun Lin
Bo-Hao Chen
Ximeng Liu
AAML
25
0
0
20 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
38
1
0
16 Jun 2024
Indirect Gradient Matching for Adversarial Robust Distillation
Indirect Gradient Matching for Adversarial Robust Distillation
Hongsin Lee
Seungju Cho
Changick Kim
AAML
FedML
48
2
0
06 Dec 2023
ScAR: Scaling Adversarial Robustness for LiDAR Object Detection
ScAR: Scaling Adversarial Robustness for LiDAR Object Detection
Xiaohu Lu
H. Radha
AAML
3DPC
24
0
0
05 Dec 2023
Generating Less Certain Adversarial Examples Improves Robust Generalization
Generating Less Certain Adversarial Examples Improves Robust Generalization
Minxing Zhang
Michael Backes
Xiao Zhang
AAML
40
1
0
06 Oct 2023
Better Diffusion Models Further Improve Adversarial Training
Better Diffusion Models Further Improve Adversarial Training
Zekai Wang
Tianyu Pang
Chao Du
Min-Bin Lin
Weiwei Liu
Shuicheng Yan
DiffM
16
207
0
09 Feb 2023
Data Augmentation Alone Can Improve Adversarial Training
Data Augmentation Alone Can Improve Adversarial Training
Lin Li
Michael W. Spratling
16
49
0
24 Jan 2023
Saliency Guided Adversarial Training for Learning Generalizable Features
  with Applications to Medical Imaging Classification System
Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System
Xin Li
Yao Qiang
Chengyin Li
Sijia Liu
D. Zhu
OOD
MedIm
29
4
0
09 Sep 2022
Sparsity Winning Twice: Better Robust Generalization from More Efficient
  Training
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training
Tianlong Chen
Zhenyu (Allen) Zhang
Pengju Wang
Santosh Balachandra
Haoyu Ma
Zehao Wang
Zhangyang Wang
OOD
AAML
77
46
0
20 Feb 2022
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy
  Labels
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels
Erik Englesson
Hossein Azizpour
NoLa
20
103
0
10 May 2021
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
250
5,830
0
08 Jul 2016
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