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SEPP: Similarity Estimation of Predicted Probabilities for Defending and
  Detecting Adversarial Text

SEPP: Similarity Estimation of Predicted Probabilities for Defending and Detecting Adversarial Text

12 October 2021
Hoang-Quoc Nguyen-Son
Seira Hidano
Kazuhide Fukushima
S. Kiyomoto
    AAML
ArXivPDFHTML

Papers citing "SEPP: Similarity Estimation of Predicted Probabilities for Defending and Detecting Adversarial Text"

16 / 16 papers shown
Title
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial
  Text Generation
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation
Tianlu Wang
Xuezhi Wang
Yao Qin
Ben Packer
Kang Li
Jilin Chen
Alex Beutel
Ed H. Chi
SILM
72
83
0
05 Oct 2020
A Geometry-Inspired Attack for Generating Natural Language Adversarial
  Examples
A Geometry-Inspired Attack for Generating Natural Language Adversarial Examples
Zhao Meng
Roger Wattenhofer
GAN
AAML
52
32
0
03 Oct 2020
Word-level Textual Adversarial Attacking as Combinatorial Optimization
Word-level Textual Adversarial Attacking as Combinatorial Optimization
Yuan Zang
Fanchao Qi
Chenghao Yang
Zhiyuan Liu
Meng Zhang
Qun Liu
Maosong Sun
AAML
62
81
0
27 Oct 2019
Learning to Discriminate Perturbations for Blocking Adversarial Attacks
  in Text Classification
Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification
Yichao Zhou
Jyun-Yu Jiang
Kai-Wei Chang
Wei Wang
AAML
41
118
0
06 Sep 2019
Certified Robustness to Adversarial Word Substitutions
Certified Robustness to Adversarial Word Substitutions
Robin Jia
Aditi Raghunathan
Kerem Göksel
Percy Liang
AAML
333
293
0
03 Sep 2019
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on
  Text Classification and Entailment
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment
Di Jin
Zhijing Jin
Qiufeng Wang
Peter Szolovits
SILM
AAML
172
1,077
0
27 Jul 2019
Combating Adversarial Misspellings with Robust Word Recognition
Combating Adversarial Misspellings with Robust Word Recognition
Danish Pruthi
Bhuwan Dhingra
Zachary Chase Lipton
167
305
0
27 May 2019
TextBugger: Generating Adversarial Text Against Real-world Applications
TextBugger: Generating Adversarial Text Against Real-world Applications
Jinfeng Li
S. Ji
Tianyu Du
Bo Li
Ting Wang
SILM
AAML
203
738
0
13 Dec 2018
Stay On-Topic: Generating Context-specific Fake Restaurant Reviews
Stay On-Topic: Generating Context-specific Fake Restaurant Reviews
Mika Juuti
Bo Sun
Tatsuya Mori
Nadarajah Asokan
DeLMO
115
34
0
07 May 2018
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
412
930
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
320
719
0
17 Apr 2018
Black-box Generation of Adversarial Text Sequences to Evade Deep
  Learning Classifiers
Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers
Ji Gao
Jack Lanchantin
M. Soffa
Yanjun Qi
AAML
132
720
0
13 Jan 2018
Learning from Simulated and Unsupervised Images through Adversarial
  Training
Learning from Simulated and Unsupervised Images through Adversarial Training
A. Shrivastava
Tomas Pfister
Oncel Tuzel
J. Susskind
Wenda Wang
Russ Webb
GAN
103
1,801
0
22 Dec 2016
Cyclical Learning Rates for Training Neural Networks
Cyclical Learning Rates for Training Neural Networks
L. Smith
ODL
197
2,525
0
03 Jun 2015
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
615
13,420
0
25 Aug 2014
Popular Ensemble Methods: An Empirical Study
Popular Ensemble Methods: An Empirical Study
R. Maclin
D. Opitz
187
2,973
0
01 Jun 2011
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