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Imbalanced Gradients: A Subtle Cause of Overestimated Adversarial
  Robustness

Imbalanced Gradients: A Subtle Cause of Overestimated Adversarial Robustness

24 June 2020
Xingjun Ma
Linxi Jiang
Hanxun Huang
Zejia Weng
James Bailey
Yu-Gang Jiang
    AAML
ArXivPDFHTML

Papers citing "Imbalanced Gradients: A Subtle Cause of Overestimated Adversarial Robustness"

6 / 6 papers shown
Title
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks
Yong Xie
Weijie Zheng
Hanxun Huang
Guangnan Ye
Xingjun Ma
AAML
61
1
0
20 Nov 2024
AdvQDet: Detecting Query-Based Adversarial Attacks with Adversarial
  Contrastive Prompt Tuning
AdvQDet: Detecting Query-Based Adversarial Attacks with Adversarial Contrastive Prompt Tuning
Xin Wang
Kai-xiang Chen
Xingjun Ma
Zhineng Chen
Jingjing Chen
Yu-Gang Jiang
AAML
29
3
0
04 Aug 2024
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
183
344
0
15 Dec 2021
Exploring Architectural Ingredients of Adversarially Robust Deep Neural
  Networks
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
Hanxun Huang
Yisen Wang
S. Erfani
Quanquan Gu
James Bailey
Xingjun Ma
AAML
TPM
44
100
0
07 Oct 2021
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
207
668
0
19 Oct 2020
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
253
3,102
0
04 Nov 2016
1