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Disentangled Text Representation Learning with Information-Theoretic
  Perspective for Adversarial Robustness

Disentangled Text Representation Learning with Information-Theoretic Perspective for Adversarial Robustness

26 October 2022
Jiahao Zhao
Wenji Mao
    DRL
    OOD
ArXivPDFHTML

Papers citing "Disentangled Text Representation Learning with Information-Theoretic Perspective for Adversarial Robustness"

4 / 4 papers shown
Title
Phrase-level Textual Adversarial Attack with Label Preservation
Phrase-level Textual Adversarial Attack with Label Preservation
Yibin Lei
Yu Cao
Dianqi Li
Dinesh Manocha
Meng Fang
Mykola Pechenizkiy
AAML
37
24
0
22 May 2022
Certified Robustness to Adversarial Word Substitutions
Certified Robustness to Adversarial Word Substitutions
Robin Jia
Aditi Raghunathan
Kerem Göksel
Percy Liang
AAML
183
291
0
03 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
245
914
0
21 Apr 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
6,959
0
20 Apr 2018
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