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Large Norms of CNN Layers Do Not Hurt Adversarial Robustness

Large Norms of CNN Layers Do Not Hurt Adversarial Robustness

17 September 2020
Youwei Liang
Dong Huang
ArXivPDFHTML

Papers citing "Large Norms of CNN Layers Do Not Hurt Adversarial Robustness"

4 / 4 papers shown
Title
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective
Nils Philipp Walter
Linara Adilova
Jilles Vreeken
Michael Kamp
AAML
48
2
0
27 May 2024
CLIP: Cheap Lipschitz Training of Neural Networks
CLIP: Cheap Lipschitz Training of Neural Networks
Leon Bungert
René Raab
Tim Roith
Leo Schwinn
Daniel Tenbrinck
24
32
0
23 Mar 2021
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
23
18
0
19 May 2020
A Closer Look at Accuracy vs. Robustness
A Closer Look at Accuracy vs. Robustness
Yao-Yuan Yang
Cyrus Rashtchian
Hongyang R. Zhang
Ruslan Salakhutdinov
Kamalika Chaudhuri
OOD
68
26
0
05 Mar 2020
1