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Towards Understanding Fast Adversarial Training

Towards Understanding Fast Adversarial Training

4 June 2020
Bai Li
Shiqi Wang
Suman Jana
Lawrence Carin
    AAML
ArXivPDFHTML

Papers citing "Towards Understanding Fast Adversarial Training"

12 / 12 papers shown
Title
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Peter Lorenz
Mario Fernandez
Jens Müller
Ullrich Kothe
AAML
78
1
0
21 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
29
3
0
18 Mar 2024
Robust Ranking Explanations
Robust Ranking Explanations
Chao Chen
Chenghua Guo
Guixiang Ma
Ming Zeng
Xi Zhang
Sihong Xie
FAtt
AAML
35
0
0
08 Jul 2023
Group-based Robustness: A General Framework for Customized Robustness in
  the Real World
Group-based Robustness: A General Framework for Customized Robustness in the Real World
Weiran Lin
Keane Lucas
Neo Eyal
Lujo Bauer
Michael K. Reiter
Mahmood Sharif
OOD
AAML
22
1
0
29 Jun 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
18
208
0
09 Feb 2023
Distributed Adversarial Training to Robustify Deep Neural Networks at
  Scale
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale
Gaoyuan Zhang
Songtao Lu
Yihua Zhang
Xiangyi Chen
Pin-Yu Chen
Quanfu Fan
Lee Martie
L. Horesh
Min-Fong Hong
Sijia Liu
OOD
24
12
0
13 Jun 2022
Why adversarial training can hurt robust accuracy
Why adversarial training can hurt robust accuracy
Jacob Clarysse
Julia Hörrmann
Fanny Yang
AAML
13
18
0
03 Mar 2022
Constrained Gradient Descent: A Powerful and Principled Evasion Attack
  Against Neural Networks
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks
Weiran Lin
Keane Lucas
Lujo Bauer
Michael K. Reiter
Mahmood Sharif
AAML
29
5
0
28 Dec 2021
On the Convergence and Robustness of Adversarial Training
On the Convergence and Robustness of Adversarial Training
Yisen Wang
Xingjun Ma
James Bailey
Jinfeng Yi
Bowen Zhou
Quanquan Gu
AAML
194
345
0
15 Dec 2021
Style Curriculum Learning for Robust Medical Image Segmentation
Style Curriculum Learning for Robust Medical Image Segmentation
Zhendong Liu
Van Manh
Xin Yang
Xiaoqiong Huang
Karim Lekadir
Víctor M. Campello
Nishant Ravikumar
Alejandro F Frangi
Dong Ni
OOD
18
17
0
01 Aug 2021
Understanding Catastrophic Overfitting in Single-step Adversarial
  Training
Understanding Catastrophic Overfitting in Single-step Adversarial Training
Hoki Kim
Woojin Lee
Jaewook Lee
AAML
9
107
0
05 Oct 2020
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,109
0
04 Nov 2016
1