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Understanding Catastrophic Overfitting in Adversarial Training

Understanding Catastrophic Overfitting in Adversarial Training

6 May 2021
Peilin Kang
Seyed-Mohsen Moosavi-Dezfooli
    AAML
ArXiv (abs)PDFHTML

Papers citing "Understanding Catastrophic Overfitting in Adversarial Training"

7 / 7 papers shown
Fast Adversarial Training against Sparse Attacks Requires Loss Smoothing
Fast Adversarial Training against Sparse Attacks Requires Loss Smoothing
Xuyang Zhong
Yixiao Huang
Chen Liu
AAML
397
0
0
28 Feb 2025
Exploiting Frequency Spectrum of Adversarial Images for General
  Robustness
Exploiting Frequency Spectrum of Adversarial Images for General Robustness
Chun Yang Tan
K. Kawamoto
Hiroshi Kera
AAMLOOD
157
1
0
15 May 2023
Catastrophic overfitting can be induced with discriminative non-robust
  features
Catastrophic overfitting can be induced with discriminative non-robust features
Guillermo Ortiz-Jiménez
Pau de Jorge
Amartya Sanyal
Adel Bibi
P. Dokania
P. Frossard
Grégory Rogez
Juil Sock
AAML
147
3
0
16 Jun 2022
Adversarial amplitude swap towards robust image classifiers
Adversarial amplitude swap towards robust image classifiers
Tan Yang
K. Kawamoto
Hiroshi Kera
AAML
165
1
0
14 Mar 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition
Robustness and Accuracy Could Be Reconcilable by (Proper) DefinitionInternational Conference on Machine Learning (ICML), 2022
Tianyu Pang
Min Lin
Xiao Yang
Junyi Zhu
Shuicheng Yan
416
151
0
21 Feb 2022
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training
Make Some Noise: Reliable and Efficient Single-Step Adversarial TrainingNeural Information Processing Systems (NeurIPS), 2022
Pau de Jorge
Adel Bibi
Riccardo Volpi
Amartya Sanyal
Juil Sock
Grégory Rogez
P. Dokania
AAML
332
57
0
02 Feb 2022
Subspace Adversarial Training
Subspace Adversarial Training
Tao Li
Yingwen Wu
Sizhe Chen
Kun Fang
Xiaolin Huang
AAMLOOD
297
67
0
24 Nov 2021
1
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