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Improving Model Robustness by Adaptively Correcting Perturbation Levels
  with Active Queries

Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries

27 March 2021
Kun-Peng Ning
Lue Tao
Songcan Chen
Sheng-Jun Huang
    AAML
    OOD
ArXivPDFHTML

Papers citing "Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries"

3 / 3 papers shown
Title
Dirichlet-Based Coarse-to-Fine Example Selection For Open-Set Annotation
Dirichlet-Based Coarse-to-Fine Example Selection For Open-Set Annotation
Ye-Wen Wang
Chen-Chen Zong
Ming-Kun Xie
Sheng-Jun Huang
21
0
0
26 Sep 2024
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
16
17
0
19 May 2020
Generating Natural Language Adversarial Examples
Generating Natural Language Adversarial Examples
M. Alzantot
Yash Sharma
Ahmed Elgohary
Bo-Jhang Ho
Mani B. Srivastava
Kai-Wei Chang
AAML
243
914
0
21 Apr 2018
1