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Evaluating the Robustness of Geometry-Aware Instance-Reweighted
  Adversarial Training

Evaluating the Robustness of Geometry-Aware Instance-Reweighted Adversarial Training

2 March 2021
Dorjan Hitaj
Giulio Pagnotta
I. Masi
L. Mancini
    OOD
    AAML
ArXivPDFHTML

Papers citing "Evaluating the Robustness of Geometry-Aware Instance-Reweighted Adversarial Training"

4 / 4 papers shown
Title
Effective Targeted Attacks for Adversarial Self-Supervised Learning
Effective Targeted Attacks for Adversarial Self-Supervised Learning
Minseon Kim
Hyeonjeong Ha
Sooel Son
Sung Ju Hwang
AAML
39
3
0
19 Oct 2022
Scaling Adversarial Training to Large Perturbation Bounds
Scaling Adversarial Training to Large Perturbation Bounds
Sravanti Addepalli
Samyak Jain
Gaurang Sriramanan
R. Venkatesh Babu
AAML
33
22
0
18 Oct 2022
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
197
345
0
15 Dec 2021
On the Impact of Hard Adversarial Instances on Overfitting in
  Adversarial Training
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training
Chen Liu
Zhichao Huang
Mathieu Salzmann
Tong Zhang
Sabine Süsstrunk
AAML
23
13
0
14 Dec 2021
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