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Exploiting the Layered Intrinsic Dimensionality of Deep Models for
  Practical Adversarial Training

Exploiting the Layered Intrinsic Dimensionality of Deep Models for Practical Adversarial Training

27 May 2024
Enes Altinisik
Safa Messaoud
H. Sencar
Hassan Sajjad
Sanjay Chawla
    AAML
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Papers citing "Exploiting the Layered Intrinsic Dimensionality of Deep Models for Practical Adversarial Training"

5 / 5 papers shown
Title
Recent Advances in Adversarial Training for Adversarial Robustness
Recent Advances in Adversarial Training for Adversarial Robustness
Tao Bai
Jinqi Luo
Jun Zhao
B. Wen
Qian Wang
AAML
73
473
0
02 Feb 2021
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
Chen Zhu
Yu Cheng
Zhe Gan
S. Sun
Tom Goldstein
Jingjing Liu
AAML
223
437
0
25 Sep 2019
Disentangling Adversarial Robustness and Generalization
Disentangling Adversarial Robustness and Generalization
David Stutz
Matthias Hein
Bernt Schiele
AAML
OOD
188
272
0
03 Dec 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,956
0
20 Apr 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
284
5,835
0
08 Jul 2016
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