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Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial
  Robustness

Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness

4 June 2021
Zifeng Wang
T. Jian
A. Masoomi
Stratis Ioannidis
Jennifer Dy
    AAML
ArXivPDFHTML

Papers citing "Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness"

3 / 3 papers shown
Title
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness
Xiaoyun Xu
Shujian Yu
Jingzheng Wu
S. Picek
AAML
35
0
0
08 Dec 2023
A Comprehensive Review of Trends, Applications and Challenges In
  Out-of-Distribution Detection
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection
Navid Ghassemi
E. F. Ersi
AAML
OODD
20
4
0
26 Sep 2022
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