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Semantic Stealth: Adversarial Text Attacks on NLP Using Several Methods

Semantic Stealth: Adversarial Text Attacks on NLP Using Several Methods

8 April 2024
Roopkatha Dey
Aivy Debnath
Sayak Kumar Dutta
Kaustav Ghosh
Arijit Mitra
Arghya Roy Chowdhury
Jaydip Sen
    AAML
    SILM
ArXivPDFHTML

Papers citing "Semantic Stealth: Adversarial Text Attacks on NLP Using Several Methods"

23 / 23 papers shown
Title
A Modified Word Saliency-Based Adversarial Attack on Text Classification
  Models
A Modified Word Saliency-Based Adversarial Attack on Text Classification Models
Hetvi Waghela
Sneha Rakshit
Jaydip Sen
AAML
52
7
0
17 Mar 2024
Efficient Combinatorial Optimization for Word-level Adversarial Textual
  Attack
Efficient Combinatorial Optimization for Word-level Adversarial Textual Attack
Shengcai Liu
Ning Lu
Cheng Chen
Ke Tang
AAML
130
32
0
06 Sep 2021
Multilingual Universal Sentence Encoder for Semantic Retrieval
Multilingual Universal Sentence Encoder for Semantic Retrieval
Yinfei Yang
Daniel Cer
Amin Ahmad
Mandy Guo
Jax Law
...
Steve Yuan
Chris Tar
Yun-hsuan Sung
B. Strope
R. Kurzweil
3DV
76
478
0
09 Jul 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
211
738
0
13 Dec 2018
Discrete Adversarial Attacks and Submodular Optimization with
  Applications to Text Classification
Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification
Qi Lei
Lingfei Wu
Pin-Yu Chen
A. Dimakis
Inderjit S. Dhillon
Michael Witbrock
AAML
60
92
0
01 Dec 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.8K
94,891
0
11 Oct 2018
Adversarial Attacks and Defences: A Survey
Adversarial Attacks and Defences: A Survey
Anirban Chakraborty
Manaar Alam
Vishal Dey
Anupam Chattopadhyay
Debdeep Mukhopadhyay
AAML
OOD
73
679
0
28 Sep 2018
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for
  Discrete Data
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data
Puyudi Yang
Jianbo Chen
Cho-Jui Hsieh
Jane-ling Wang
Michael I. Jordan
AAML
SILM
86
116
0
31 May 2018
GenAttack: Practical Black-box Attacks with Gradient-Free Optimization
GenAttack: Practical Black-box Attacks with Gradient-Free Optimization
M. Alzantot
Yash Sharma
Supriyo Chakraborty
Huan Zhang
Cho-Jui Hsieh
Mani B. Srivastava
AAML
74
258
0
28 May 2018
Interpretable Adversarial Perturbation in Input Embedding Space for Text
Interpretable Adversarial Perturbation in Input Embedding Space for Text
Motoki Sato
Jun Suzuki
Hiroyuki Shindo
Yuji Matsumoto
50
191
0
08 May 2018
Breaking NLI Systems with Sentences that Require Simple Lexical
  Inferences
Breaking NLI Systems with Sentences that Require Simple Lexical Inferences
Max Glockner
Vered Shwartz
Yoav Goldberg
NAI
88
366
0
06 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
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
137
721
0
13 Jan 2018
Adversarial Examples for Evaluating Reading Comprehension Systems
Adversarial Examples for Evaluating Reading Comprehension Systems
Robin Jia
Percy Liang
AAML
ELM
199
1,605
0
23 Jul 2017
Towards Crafting Text Adversarial Samples
Towards Crafting Text Adversarial Samples
Suranjana Samanta
S. Mehta
AAML
67
221
0
10 Jul 2017
Deep Text Classification Can be Fooled
Deep Text Classification Can be Fooled
Bin Liang
Hongcheng Li
Miaoqiang Su
Pan Bian
Xirong Li
Wenchang Shi
AAML
75
424
0
26 Apr 2017
Virtual Adversarial Training: A Regularization Method for Supervised and
  Semi-Supervised Learning
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
Takeru Miyato
S. Maeda
Masanori Koyama
S. Ishii
GAN
148
2,734
0
13 Apr 2017
Neural Belief Tracker: Data-Driven Dialogue State Tracking
Neural Belief Tracker: Data-Driven Dialogue State Tracking
N. Mrksic
Diarmuid Ó Séaghdha
Tsung-Hsien Wen
Blaise Thomson
S. Young
87
483
0
12 Jun 2016
Crafting Adversarial Input Sequences for Recurrent Neural Networks
Crafting Adversarial Input Sequences for Recurrent Neural Networks
Nicolas Papernot
Patrick McDaniel
A. Swami
Richard E. Harang
AAML
GAN
SILM
51
456
0
28 Apr 2016
Distillation as a Defense to Adversarial Perturbations against Deep
  Neural Networks
Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks
Nicolas Papernot
Patrick McDaniel
Xi Wu
S. Jha
A. Swami
AAML
102
3,072
0
14 Nov 2015
A large annotated corpus for learning natural language inference
A large annotated corpus for learning natural language inference
Samuel R. Bowman
Gabor Angeli
Christopher Potts
Christopher D. Manning
313
4,287
0
21 Aug 2015
Deep Neural Networks are Easily Fooled: High Confidence Predictions for
  Unrecognizable Images
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
Anh Totti Nguyen
J. Yosinski
Jeff Clune
AAML
169
3,271
0
05 Dec 2014
Exploiting Similarities among Languages for Machine Translation
Exploiting Similarities among Languages for Machine Translation
Tomas Mikolov
Quoc V. Le
Ilya Sutskever
96
1,596
0
17 Sep 2013
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