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Contrasting Human- and Machine-Generated Word-Level Adversarial Examples
  for Text Classification

Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification

9 September 2021
Maximilian Mozes
Max Bartolo
Pontus Stenetorp
Bennett Kleinberg
Lewis D. Griffin
    DeLMO
    AAML
    SILM
ArXivPDFHTML

Papers citing "Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification"

5 / 5 papers shown
Title
Identifying Human Strategies for Generating Word-Level Adversarial
  Examples
Identifying Human Strategies for Generating Word-Level Adversarial Examples
Maximilian Mozes
Bennett Kleinberg
Lewis D. Griffin
AAML
33
1
0
20 Oct 2022
DynaSent: A Dynamic Benchmark for Sentiment Analysis
DynaSent: A Dynamic Benchmark for Sentiment Analysis
Christopher Potts
Zhengxuan Wu
Atticus Geiger
Douwe Kiela
230
77
0
30 Dec 2020
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
250
915
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
205
712
0
17 Apr 2018
1