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Contextualized Perturbation for Textual Adversarial Attack
v1v2 (latest)

Contextualized Perturbation for Textual Adversarial Attack

16 September 2020
Dianqi Li
Yizhe Zhang
Hao Peng
Liqun Chen
Chris Brockett
Ming-Ting Sun
Bill Dolan
    AAMLSILM
ArXiv (abs)PDFHTML

Papers citing "Contextualized Perturbation for Textual Adversarial Attack"

50 / 61 papers shown
Title
Coordinated Robustness Evaluation Framework for Vision-Language Models
Coordinated Robustness Evaluation Framework for Vision-Language Models
Ashwin Ramesh Babu
Sajad Mousavi
Vineet Gundecha
Sahand Ghorbanpour
Avisek Naug
Antonio Guillen
Ricardo Luna Gutierrez
Soumyendu Sarkar
AAML
25
0
0
05 Jun 2025
CAMOUFLAGE: Exploiting Misinformation Detection Systems Through LLM-driven Adversarial Claim Transformation
CAMOUFLAGE: Exploiting Misinformation Detection Systems Through LLM-driven Adversarial Claim Transformation
Mazal Bethany
Nishant Vishwamitra
Cho-Yu Chiang
Peyman Najafirad
AAML
56
0
0
03 May 2025
Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks
Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks
Yang Wang
Chenghua Lin
ELM
193
0
0
05 Jan 2025
An Effective, Robust and Fairness-aware Hate Speech Detection Framework
An Effective, Robust and Fairness-aware Hate Speech Detection Framework
Guanyi Mou
Kyumin Lee
69
2
0
25 Sep 2024
Unmasking Database Vulnerabilities: Zero-Knowledge Schema Inference Attacks in Text-to-SQL Systems
Unmasking Database Vulnerabilities: Zero-Knowledge Schema Inference Attacks in Text-to-SQL Systems
Đorđe Klisura
Anthony Rios
AAML
94
2
0
20 Jun 2024
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
68
7
0
17 Mar 2024
Toward Stronger Textual Attack Detectors
Toward Stronger Textual Attack Detectors
Pierre Colombo
Marine Picot
Nathan Noiry
Guillaume Staerman
Pablo Piantanida
561
5
0
21 Oct 2023
LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial
  Attack
LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial Attack
HaiXiang Zhu
Zhaoqing Yang
Weiwei Shang
Yuren Wu
AAMLFAtt
73
3
0
01 Aug 2023
Text-CRS: A Generalized Certified Robustness Framework against Textual
  Adversarial Attacks
Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial Attacks
Xinyu Zhang
Hanbin Hong
Yuan Hong
Peng Huang
Binghui Wang
Zhongjie Ba
Kui Ren
SILM
122
25
0
31 Jul 2023
NatLogAttack: A Framework for Attacking Natural Language Inference
  Models with Natural Logic
NatLogAttack: A Framework for Attacking Natural Language Inference Models with Natural Logic
Zióu Zheng
Xiao-Dan Zhu
AAMLLRM
86
6
0
06 Jul 2023
VoteTRANS: Detecting Adversarial Text without Training by Voting on Hard
  Labels of Transformations
VoteTRANS: Detecting Adversarial Text without Training by Voting on Hard Labels of Transformations
Hoang-Quoc Nguyen-Son
Seira Hidano
Kazuhide Fukushima
S. Kiyomoto
Isao Echizen
57
0
0
02 Jun 2023
From Adversarial Arms Race to Model-centric Evaluation: Motivating a
  Unified Automatic Robustness Evaluation Framework
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework
Yangyi Chen
Hongcheng Gao
Ganqu Cui
Lifan Yuan
Dehan Kong
...
Longtao Huang
H. Xue
Zhiyuan Liu
Maosong Sun
Heng Ji
AAMLELM
96
6
0
29 May 2023
The Best Defense is Attack: Repairing Semantics in Textual Adversarial
  Examples
The Best Defense is Attack: Repairing Semantics in Textual Adversarial Examples
Heng Yang
Ke Li
AAML
94
3
0
06 May 2023
Masked Language Model Based Textual Adversarial Example Detection
Masked Language Model Based Textual Adversarial Example Detection
Xiaomei Zhang
Zhaoxi Zhang
Qi Zhong
Xufei Zheng
Yanjun Zhang
Shengshan Hu
L. Zhang
AAML
92
2
0
18 Apr 2023
TransAudio: Towards the Transferable Adversarial Audio Attack via
  Learning Contextualized Perturbations
TransAudio: Towards the Transferable Adversarial Audio Attack via Learning Contextualized Perturbations
Qin Gege
YueFeng Chen
Xiaofeng Mao
Yao Zhu
Binyuan Hui
Xiaodan Li
Rong Zhang
Hui Xue
AAML
70
8
0
28 Mar 2023
BeamAttack: Generating High-quality Textual Adversarial Examples through
  Beam Search and Mixed Semantic Spaces
BeamAttack: Generating High-quality Textual Adversarial Examples through Beam Search and Mixed Semantic Spaces
Hai Zhu
Qingyang Zhao
Yuren Wu
AAML
43
4
0
09 Mar 2023
Frauds Bargain Attack: Generating Adversarial Text Samples via Word
  Manipulation Process
Frauds Bargain Attack: Generating Adversarial Text Samples via Word Manipulation Process
Mingze Ni
Zhen-Biao Sun
Wei Liu
AAMLSILM
72
7
0
01 Mar 2023
TextShield: Beyond Successfully Detecting Adversarial Sentences in Text
  Classification
TextShield: Beyond Successfully Detecting Adversarial Sentences in Text Classification
Lingfeng Shen
Ze Zhang
Haiyun Jiang
Ying-Cong Chen
AAML
111
5
0
03 Feb 2023
In and Out-of-Domain Text Adversarial Robustness via Label Smoothing
In and Out-of-Domain Text Adversarial Robustness via Label Smoothing
Yahan Yang
Soham Dan
Dan Roth
Insup Lee
64
5
0
20 Dec 2022
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven
  Optimization
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization
Bairu Hou
Jinghan Jia
Yihua Zhang
Guanhua Zhang
Yang Zhang
Sijia Liu
Shiyu Chang
SILMAAML
60
24
0
19 Dec 2022
Generating Textual Adversaries with Minimal Perturbation
Generating Textual Adversaries with Minimal Perturbation
Xingyi Zhao
Lu Zhang
Depeng Xu
Shuhan Yuan
DeLMOAAML
45
2
0
12 Nov 2022
Preserving Semantics in Textual Adversarial Attacks
Preserving Semantics in Textual Adversarial Attacks
David Herel
Hugo Cisneros
Tomas Mikolov
AAML
92
6
0
08 Nov 2022
TASA: Deceiving Question Answering Models by Twin Answer Sentences
  Attack
TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack
Yu Cao
Dianqi Li
Meng Fang
Dinesh Manocha
Jun Gao
Yibing Zhan
Dacheng Tao
AAML
83
17
0
27 Oct 2022
TCAB: A Large-Scale Text Classification Attack Benchmark
TCAB: A Large-Scale Text Classification Attack Benchmark
Kalyani Asthana
Zhouhang Xie
Wencong You
Adam Noack
Jonathan Brophy
Sameer Singh
Daniel Lowd
119
3
0
21 Oct 2022
Balanced Adversarial Training: Balancing Tradeoffs between Fickleness
  and Obstinacy in NLP Models
Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models
Hannah Chen
Yangfeng Ji
David Evans
SILMAAML
49
4
0
20 Oct 2022
Controllable Fake Document Infilling for Cyber Deception
Controllable Fake Document Infilling for Cyber Deception
Yibo Hu
Yu Lin
Eric Parolin
Latif Khan
Kevin W. Hamlen
66
8
0
18 Oct 2022
A Context-Aware Approach for Textual Adversarial Attack through
  Probability Difference Guided Beam Search
A Context-Aware Approach for Textual Adversarial Attack through Probability Difference Guided Beam Search
Bin Ji
Jie Yu
Shasha Li
Jun Ma
Shezheng Song
AAML
59
1
0
17 Aug 2022
BERT Rankers are Brittle: a Study using Adversarial Document
  Perturbations
BERT Rankers are Brittle: a Study using Adversarial Document Perturbations
Yumeng Wang
Lijun Lyu
Avishek Anand
AAML
26
22
0
23 Jun 2022
Learning to Ignore Adversarial Attacks
Learning to Ignore Adversarial Attacks
Yiming Zhang
Yan Zhou
Samuel Carton
Chenhao Tan
82
2
0
23 May 2022
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
107
24
0
22 May 2022
AEON: A Method for Automatic Evaluation of NLP Test Cases
AEON: A Method for Automatic Evaluation of NLP Test Cases
Jen-tse Huang
Jianping Zhang
Wenxuan Wang
Pinjia He
Yuxin Su
Michael R. Lyu
78
23
0
13 May 2022
Don't sweat the small stuff, classify the rest: Sample Shielding to
  protect text classifiers against adversarial attacks
Don't sweat the small stuff, classify the rest: Sample Shielding to protect text classifiers against adversarial attacks
Jonathan Rusert
P. Srinivasan
AAML
52
3
0
03 May 2022
SemAttack: Natural Textual Attacks via Different Semantic Spaces
SemAttack: Natural Textual Attacks via Different Semantic Spaces
Wei Ping
Chejian Xu
Xiangyu Liu
Yuk-Kit Cheng
Yue Liu
SILMAAML
113
53
0
03 May 2022
Detecting Textual Adversarial Examples Based on Distributional
  Characteristics of Data Representations
Detecting Textual Adversarial Examples Based on Distributional Characteristics of Data Representations
Na Liu
Mark Dras
Wei Emma Zhang
AAML
44
6
0
29 Apr 2022
Adversarial Training for Improving Model Robustness? Look at Both
  Prediction and Interpretation
Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation
Hanjie Chen
Yangfeng Ji
OODAAMLVLM
98
21
0
23 Mar 2022
Distinguishing Non-natural from Natural Adversarial Samples for More
  Robust Pre-trained Language Model
Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language Model
Jiayi Wang
Rongzhou Bao
Zhuosheng Zhang
Hai Zhao
AAML
57
4
0
19 Mar 2022
Generalized but not Robust? Comparing the Effects of Data Modification
  Methods on Out-of-Domain Generalization and Adversarial Robustness
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness
Tejas Gokhale
Swaroop Mishra
Man Luo
Bhavdeep Singh Sachdeva
Chitta Baral
100
30
0
15 Mar 2022
Threats to Pre-trained Language Models: Survey and Taxonomy
Threats to Pre-trained Language Models: Survey and Taxonomy
Shangwei Guo
Chunlong Xie
Jiwei Li
Lingjuan Lyu
Tianwei Zhang
PILM
55
32
0
14 Feb 2022
Identifying Adversarial Attacks on Text Classifiers
Identifying Adversarial Attacks on Text Classifiers
Zhouhang Xie
Jonathan Brophy
Adam Noack
Wencong You
Kalyani Asthana
Carter Perkins
Sabrina Reis
Sameer Singh
Daniel Lowd
AAML
84
9
0
21 Jan 2022
Unifying Model Explainability and Robustness for Joint Text
  Classification and Rationale Extraction
Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction
Dongfang Li
Baotian Hu
Qingcai Chen
Tujie Xu
Jingcong Tao
Yunan Zhang
75
12
0
20 Dec 2021
Measure and Improve Robustness in NLP Models: A Survey
Measure and Improve Robustness in NLP Models: A Survey
Xuezhi Wang
Haohan Wang
Diyi Yang
291
139
0
15 Dec 2021
NL-Augmenter: A Framework for Task-Sensitive Natural Language
  Augmentation
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D. Dhole
Varun Gangal
Sebastian Gehrmann
Aadesh Gupta
Zhenhao Li
...
Tianbao Xie
Usama Yaseen
Michael A. Yee
Jing Zhang
Yue Zhang
235
88
0
06 Dec 2021
Improving the robustness and accuracy of biomedical language models
  through adversarial training
Improving the robustness and accuracy of biomedical language models through adversarial training
M. Moradi
Matthias Samwald
AAMLOODMedIm
80
12
0
16 Nov 2021
Triggerless Backdoor Attack for NLP Tasks with Clean Labels
Triggerless Backdoor Attack for NLP Tasks with Clean Labels
Leilei Gan
Jiwei Li
Tianwei Zhang
Xiaoya Li
Yuxian Meng
Leilei Gan
Yi Yang
Shangwei Guo
Chun Fan
AAMLSILM
91
80
0
15 Nov 2021
Recent Advances in Natural Language Processing via Large Pre-Trained
  Language Models: A Survey
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey
Bonan Min
Hayley L Ross
Elior Sulem
Amir Pouran Ben Veyseh
Thien Huu Nguyen
Oscar Sainz
Eneko Agirre
Ilana Heinz
Dan Roth
LM&MAVLMAI4CE
189
1,093
0
01 Nov 2021
Text Counterfactuals via Latent Optimization and Shapley-Guided Search
Text Counterfactuals via Latent Optimization and Shapley-Guided Search
Quintin Pope
Xiaoli Z. Fern
64
20
0
22 Oct 2021
Semantically Distributed Robust Optimization for Vision-and-Language
  Inference
Semantically Distributed Robust Optimization for Vision-and-Language Inference
Tejas Gokhale
A. Chaudhary
Pratyay Banerjee
Chitta Baral
Yezhou Yang
114
17
0
14 Oct 2021
Automatically Exposing Problems with Neural Dialog Models
Automatically Exposing Problems with Neural Dialog Models
Dian Yu
Kenji Sagae
105
9
0
14 Sep 2021
Virtual Data Augmentation: A Robust and General Framework for
  Fine-tuning Pre-trained Models
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models
Kun Zhou
Wayne Xin Zhao
Sirui Wang
Fuzheng Zhang
Wei Wu
Ji-Rong Wen
AAML
51
8
0
13 Sep 2021
A Strong Baseline for Query Efficient Attacks in a Black Box Setting
A Strong Baseline for Query Efficient Attacks in a Black Box Setting
Rishabh Maheshwary
Saket Maheshwary
Vikram Pudi
AAML
55
30
0
10 Sep 2021
12
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