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Regularizers for Single-step Adversarial Training

Regularizers for Single-step Adversarial Training

3 February 2020
S. VivekB.
R. Venkatesh Babu
    AAML
ArXiv (abs)PDFHTML

Papers citing "Regularizers for Single-step Adversarial Training"

4 / 4 papers shown
MeanSparse: Post-Training Robustness Enhancement Through Mean-Centered Feature Sparsification
MeanSparse: Post-Training Robustness Enhancement Through Mean-Centered Feature Sparsification
Sajjad Amini
Mohammadreza Teymoorianfard
Shiqing Ma
Amir Houmansadr
OODAAML
443
22
0
09 Jun 2024
ZeroGrad : Mitigating and Explaining Catastrophic Overfitting in FGSM
  Adversarial Training
ZeroGrad : Mitigating and Explaining Catastrophic Overfitting in FGSM Adversarial Training
Zeinab Golgooni
Mehrdad Saberi
Masih Eskandar
M. Rohban
AAML
133
17
0
29 Mar 2021
Recent Advances in Adversarial Training for Adversarial Robustness
Recent Advances in Adversarial Training for Adversarial RobustnessInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Tao Bai
Jinqi Luo
Jun Zhao
Bihan Wen
Qian Wang
AAML
662
618
0
02 Feb 2021
Boosting Adversarial Training with Hypersphere Embedding
Boosting Adversarial Training with Hypersphere EmbeddingNeural Information Processing Systems (NeurIPS), 2020
Tianyu Pang
Xiao Yang
Yinpeng Dong
Kun Xu
Jun Zhu
Hang Su
AAML
451
161
0
20 Feb 2020
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