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T3: Tree-Autoencoder Constrained Adversarial Text Generation for
  Targeted Attack
v1v2 (latest)

T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack

22 December 2019
Wei Ping
Hengzhi Pei
Boyuan Pan
Han Liu
Shuohang Wang
Yangqiu Song
    AAML
ArXiv (abs)PDFHTMLGithub (26★)

Papers citing "T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack"

5 / 5 papers shown
Title
Adversarial Robustness for Tabular Data through Cost and Utility
  Awareness
Adversarial Robustness for Tabular Data through Cost and Utility Awareness
Klim Kireev
B. Kulynych
Carmela Troncoso
AAML
83
18
0
27 Aug 2022
Contextualized Perturbation for Textual Adversarial Attack
Contextualized Perturbation for Textual Adversarial Attack
Dianqi Li
Yizhe Zhang
Hao Peng
Liqun Chen
Chris Brockett
Ming-Ting Sun
Bill Dolan
AAMLSILM
181
235
0
16 Sep 2020
Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for
  Automatic Dialog Evaluation
Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation
Weixin Liang
James Zou
Zhou Yu
ELM
99
34
0
21 May 2020
Robustness to Programmable String Transformations via Augmented Abstract
  Training
Robustness to Programmable String Transformations via Augmented Abstract Training
Yuhao Zhang
Aws Albarghouthi
Loris Dántoni
74
17
0
22 Feb 2020
Generating Natural Adversarial Examples
Generating Natural Adversarial Examples
Zhengli Zhao
Dheeru Dua
Sameer Singh
GANAAML
194
601
0
31 Oct 2017
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