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Subspace Defense: Discarding Adversarial Perturbations by Learning a
  Subspace for Clean Signals

Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals

24 March 2024
Rui Zheng
Yuhao Zhou
Zhiheng Xi
Tao Gui
Qi Zhang
Xuanjing Huang
    AAML
ArXivPDFHTML

Papers citing "Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals"

3 / 3 papers shown
Title
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
221
436
0
25 Sep 2019
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
Adversarial Example Generation with Syntactically Controlled Paraphrase
  Networks
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
Mohit Iyyer
John Wieting
Kevin Gimpel
Luke Zettlemoyer
AAML
GAN
185
711
0
17 Apr 2018
1