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2009.07502
Cited By
Contextualized Perturbation for Textual Adversarial Attack
16 September 2020
Dianqi Li
Yizhe Zhang
Hao Peng
Liqun Chen
Chris Brockett
Ming-Ting Sun
Bill Dolan
AAML
SILM
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Papers citing
"Contextualized Perturbation for Textual Adversarial Attack"
50 / 58 papers shown
Title
Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks
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Chenghua Lin
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0
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Yipeng Wang
Seunghee Shin
Benjamin I. P. Rubinstein
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56
1
0
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Advancing the Robustness of Large Language Models through Self-Denoised Smoothing
Jiabao Ji
Bairu Hou
Zhen Zhang
Guanhua Zhang
Wenqi Fan
Qing Li
Yang Zhang
Gaowen Liu
Sijia Liu
Shiyu Chang
AAML
43
6
0
18 Apr 2024
VertAttack: Taking advantage of Text Classifiers' horizontal vision
Jonathan Rusert
AAML
43
1
0
12 Apr 2024
A Modified Word Saliency-Based Adversarial Attack on Text Classification Models
Hetvi Waghela
Sneha Rakshit
Jaydip Sen
AAML
31
7
0
17 Mar 2024
Single Word Change is All You Need: Designing Attacks and Defenses for Text Classifiers
Lei Xu
Sarah Alnegheimish
Laure Berti-Equille
Alfredo Cuesta-Infante
K. Veeramachaneni
AAML
27
0
0
30 Jan 2024
Toward Stronger Textual Attack Detectors
Pierre Colombo
Marine Picot
Nathan Noiry
Guillaume Staerman
Pablo Piantanida
62
5
0
21 Oct 2023
A Classification-Guided Approach for Adversarial Attacks against Neural Machine Translation
Sahar Sadrizadeh
Ljiljana Dolamic
P. Frossard
AAML
SILM
44
2
0
29 Aug 2023
Automated Testing and Improvement of Named Entity Recognition Systems
Boxi Yu
Yi-Nuo Hu
Qiuyang Mang
Wen-Ying Hu
Pinjia He
25
6
0
14 Aug 2023
LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial Attack
HaiXiang Zhu
Zhaoqing Yang
Weiwei Shang
Yuren Wu
AAML
FAtt
10
3
0
01 Aug 2023
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
44
18
0
31 Jul 2023
Exploring Multimodal Approaches for Alzheimer's Disease Detection Using Patient Speech Transcript and Audio Data
Hongmin Cai
Xiaoke Huang
Zheng Liu
Wenxiong Liao
Haixing Dai
...
Dajiang Zhu
Hui Ren
Quanzheng Li
Tianming Liu
Xiang Li
40
18
0
05 Jul 2023
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework
Yangyi Chen
Hongcheng Gao
Yuchen Zhang
Lifan Yuan
Dehan Kong
...
Longtao Huang
H. Xue
Zhiyuan Liu
Maosong Sun
Heng Ji
AAML
ELM
33
6
0
29 May 2023
Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision Making
Xuanjie Fang
Sijie Cheng
Yang Liu
Wen Wang
AAML
42
9
0
27 May 2023
Smaller Language Models are Better Black-box Machine-Generated Text Detectors
Niloofar Mireshghallah
Justus Mattern
Sicun Gao
Reza Shokri
Taylor Berg-Kirkpatrick
DeLMO
27
48
0
17 May 2023
ParaLS: Lexical Substitution via Pretrained Paraphraser
Jipeng Qiang
Kang Liu
Yun Li
Yunhao Yuan
Yi Zhu
KELM
34
11
0
14 May 2023
Attack Named Entity Recognition by Entity Boundary Interference
Yifei Yang
Hongqiu Wu
Hai Zhao
AAML
24
5
0
09 May 2023
Did You Train on My Dataset? Towards Public Dataset Protection with Clean-Label Backdoor Watermarking
Ruixiang Tang
Qizhang Feng
Ninghao Liu
Fan Yang
Xia Hu
26
36
0
20 Mar 2023
Frauds Bargain Attack: Generating Adversarial Text Samples via Word Manipulation Process
Mingze Ni
Zhen-Biao Sun
Wei Liu
AAML
SILM
35
7
0
01 Mar 2023
TextShield: Beyond Successfully Detecting Adversarial Sentences in Text Classification
Lingfeng Shen
Ze Zhang
Haiyun Jiang
Ying-Cong Chen
AAML
45
5
0
03 Feb 2023
Generating Textual Adversaries with Minimal Perturbation
Xingyi Zhao
Lu Zhang
Depeng Xu
Shuhan Yuan
DeLMO
AAML
17
2
0
12 Nov 2022
Preserving Semantics in Textual Adversarial Attacks
David Herel
Hugo Cisneros
Tomáš Mikolov
AAML
40
6
0
08 Nov 2022
Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions
Gaurav Verma
Vishwa Vinay
Ryan A. Rossi
Srijan Kumar
VLM
AAML
13
8
0
04 Nov 2022
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
26
15
0
27 Oct 2022
TCAB: A Large-Scale Text Classification Attack Benchmark
Kalyani Asthana
Zhouhang Xie
Wencong You
Adam Noack
Jonathan Brophy
Sameer Singh
Daniel Lowd
44
3
0
21 Oct 2022
Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP
Yangyi Chen
Hongcheng Gao
Yuchen Zhang
Fanchao Qi
Longtao Huang
Zhiyuan Liu
Maosong Sun
SILM
27
45
0
19 Oct 2022
Controllable Fake Document Infilling for Cyber Deception
Yibo Hu
Yu Lin
Eric Parolin
Latif Khan
Kevin W. Hamlen
35
8
0
18 Oct 2022
A Context-Aware Approach for Textual Adversarial Attack through Probability Difference Guided Beam Search
Huijun Liu
Jie Yu
Shasha Li
Jun Ma
Bin Ji
AAML
38
1
0
17 Aug 2022
Rethinking Textual Adversarial Defense for Pre-trained Language Models
Jiayi Wang
Rongzhou Bao
ZhuoSheng Zhang
Hai Zhao
AAML
SILM
28
11
0
21 Jul 2022
Learning to Ignore Adversarial Attacks
Yiming Zhang
Yan Zhou
Samuel Carton
Chenhao Tan
57
2
0
23 May 2022
AEON: A Method for Automatic Evaluation of NLP Test Cases
Jen-tse Huang
Jianping Zhang
Wenxuan Wang
Pinjia He
Yuxin Su
Michael R. Lyu
45
23
0
13 May 2022
Don't sweat the small stuff, classify the rest: Sample Shielding to protect text classifiers against adversarial attacks
Jonathan Rusert
P. Srinivasan
AAML
19
3
0
03 May 2022
Detecting Textual Adversarial Examples Based on Distributional Characteristics of Data Representations
Na Liu
Mark Dras
Wei Emma Zhang
AAML
24
6
0
29 Apr 2022
Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation
Hanjie Chen
Yangfeng Ji
OOD
AAML
VLM
34
21
0
23 Mar 2022
Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language Model
Jiayi Wang
Rongzhou Bao
ZhuoSheng Zhang
Hai Zhao
AAML
29
4
0
19 Mar 2022
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
52
29
0
15 Mar 2022
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
31
9
0
21 Jan 2022
Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction
Dongfang Li
Baotian Hu
Qingcai Chen
Tujie Xu
Jingcong Tao
Yunan Zhang
32
12
0
20 Dec 2021
Measure and Improve Robustness in NLP Models: A Survey
Xuezhi Wang
Haohan Wang
Diyi Yang
139
130
0
15 Dec 2021
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
174
86
0
06 Dec 2021
Triggerless Backdoor Attack for NLP Tasks with Clean Labels
Leilei Gan
Jiwei Li
Tianwei Zhang
Xiaoya Li
Yuxian Meng
Fei Wu
Yi Yang
Shangwei Guo
Chun Fan
AAML
SILM
27
74
0
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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&MA
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AI4CE
83
1,038
0
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Automatically Exposing Problems with Neural Dialog Models
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Kenji Sagae
31
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Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models
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Wayne Xin Zhao
Sirui Wang
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Wei Wu
Ji-Rong Wen
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A Strong Baseline for Query Efficient Attacks in a Black Box Setting
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Saket Maheshwary
Vikram Pudi
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Gradient-based Adversarial Attacks against Text Transformers
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Alexandre Sablayrolles
Hervé Jégou
Douwe Kiela
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106
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Sometimes We Want Translationese
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Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models
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Improving Text Generation with Student-Forcing Optimal Transport
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Chunyuan Li
Jianqiao Li
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...
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Wenlin Wang
Dinghan Shen
Qian Yang
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