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Improving Adversarial Robustness via Probabilistically Compact Loss with
  Logit Constraints

Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints

14 December 2020
X. Li
Xiangrui Li
Deng Pan
D. Zhu
    AAML
ArXivPDFHTML

Papers citing "Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints"

4 / 4 papers shown
Title
Negative Flux Aggregation to Estimate Feature Attributions
Negative Flux Aggregation to Estimate Feature Attributions
X. Li
Deng Pan
Chengyin Li
Yao Qiang
D. Zhu
FAtt
8
6
0
17 Jan 2023
Saliency Guided Adversarial Training for Learning Generalizable Features
  with Applications to Medical Imaging Classification System
Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System
Xin Li
Yao Qiang
Chengyin Li
Sijia Liu
D. Zhu
OOD
MedIm
31
4
0
09 Sep 2022
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial
  Robustness of Neural Networks
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks
Linhai Ma
Liang Liang
AAML
26
18
0
19 May 2020
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
293
3,110
0
04 Nov 2016
1