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BAE: BERT-based Adversarial Examples for Text Classification

BAE: BERT-based Adversarial Examples for Text Classification

4 April 2020
Siddhant Garg
Goutham Ramakrishnan
    AAML
    SILM
ArXivPDFHTML

Papers citing "BAE: BERT-based Adversarial Examples for Text Classification"

49 / 99 papers shown
Title
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
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
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
QAGAN: Adversarial Approach To Learning Domain Invariant Language
  Features
QAGAN: Adversarial Approach To Learning Domain Invariant Language Features
Shubham Shrivastava
Kaiyue Wang
OOD
29
2
0
24 Jun 2022
CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming
  Language Models
CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models
Akshita Jha
Chandan K. Reddy
SILM
ELM
AAML
30
59
0
31 May 2022
Learning to Ignore Adversarial Attacks
Learning to Ignore Adversarial Attacks
Yiming Zhang
Yan Zhou
Samuel Carton
Chenhao Tan
54
2
0
23 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
40
23
0
13 May 2022
A Simple Yet Efficient Method for Adversarial Word-Substitute Attack
A Simple Yet Efficient Method for Adversarial Word-Substitute Attack
Tianle Li
Yi Yang
AAML
24
0
0
07 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
19
3
0
03 May 2022
"That Is a Suspicious Reaction!": Interpreting Logits Variation to
  Detect NLP Adversarial Attacks
"That Is a Suspicious Reaction!": Interpreting Logits Variation to Detect NLP Adversarial Attacks
Edoardo Mosca
Shreyash Agarwal
Javier Rando
Georg Groh
AAML
32
30
0
10 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
OOD
AAML
VLM
32
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
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
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
Detection of Word Adversarial Examples in Text Classification: Benchmark
  and Baseline via Robust Density Estimation
Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation
Kiyoon Yoo
Jangho Kim
Jiho Jang
Nojun Kwak
22
39
0
03 Mar 2022
White-Box Attacks on Hate-speech BERT Classifiers in German with
  Explicit and Implicit Character Level Defense
White-Box Attacks on Hate-speech BERT Classifiers in German with Explicit and Implicit Character Level Defense
Shahrukh Khan
Mahnoor Shahid
Navdeeppal Singh
AAML
33
2
0
11 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
29
9
0
21 Jan 2022
Robust Natural Language Processing: Recent Advances, Challenges, and
  Future Directions
Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions
Marwan Omar
Soohyeon Choi
Daehun Nyang
David A. Mohaisen
32
57
0
03 Jan 2022
Measure and Improve Robustness in NLP Models: A Survey
Measure and Improve Robustness in NLP Models: A Survey
Xuezhi Wang
Haohan Wang
Diyi Yang
139
130
0
15 Dec 2021
Quantifying and Understanding Adversarial Examples in Discrete Input
  Spaces
Quantifying and Understanding Adversarial Examples in Discrete Input Spaces
Volodymyr Kuleshov
Evgenii Nikishin
S. Thakoor
Tingfung Lau
Stefano Ermon
AAML
27
1
0
12 Dec 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
Fei Wu
Yi Yang
Shangwei Guo
Chun Fan
AAML
SILM
27
74
0
15 Nov 2021
Towards Interpretability of Speech Pause in Dementia Detection using
  Adversarial Learning
Towards Interpretability of Speech Pause in Dementia Detection using Adversarial Learning
Youxiang Zhu
Bang Tran
Xiaohui Liang
J. Batsis
R. Roth
AAML
18
6
0
14 Nov 2021
NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language
  Evaluation
NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language Evaluation
David Alfonso-Hermelo
Ahmad Rashid
Abbas Ghaddar
Huawei Noah’s
Mehdi Rezagholizadeh
37
2
0
09 Nov 2021
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of
  Language Models
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models
Wei Ping
Chejian Xu
Shuohang Wang
Zhe Gan
Yu Cheng
Jianfeng Gao
Ahmed Hassan Awadallah
Yangqiu Song
VLM
ELM
AAML
33
215
0
04 Nov 2021
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to
  CNNs
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs
Philipp Benz
Soomin Ham
Chaoning Zhang
Adil Karjauv
In So Kweon
AAML
ViT
47
79
0
06 Oct 2021
SoK: Machine Learning Governance
SoK: Machine Learning Governance
Varun Chandrasekaran
Hengrui Jia
Anvith Thudi
Adelin Travers
Mohammad Yaghini
Nicolas Papernot
38
16
0
20 Sep 2021
BERT is Robust! A Case Against Synonym-Based Adversarial Examples in
  Text Classification
BERT is Robust! A Case Against Synonym-Based Adversarial Examples in Text Classification
J. Hauser
Zhao Meng
Damian Pascual
Roger Wattenhofer
OOD
SILM
AAML
193
13
0
15 Sep 2021
Detecting Textual Adversarial Examples through Randomized Substitution
  and Vote
Detecting Textual Adversarial Examples through Randomized Substitution and Vote
Xiaosen Wang
Yifeng Xiong
Kun He
AAML
25
11
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
30
30
0
10 Sep 2021
AEDA: An Easier Data Augmentation Technique for Text Classification
AEDA: An Easier Data Augmentation Technique for Text Classification
Akbar Karimi
L. Rossi
Andrea Prati
32
151
0
30 Aug 2021
Searching for an Effective Defender: Benchmarking Defense against
  Adversarial Word Substitution
Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution
Zongyi Li
Jianhan Xu
Jiehang Zeng
Linyang Li
Xiaoqing Zheng
Qi Zhang
Kai-Wei Chang
Cho-Jui Hsieh
AAML
8
74
0
29 Aug 2021
CLINE: Contrastive Learning with Semantic Negative Examples for Natural
  Language Understanding
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding
Dong Wang
Ning Ding
Pijian Li
Haitao Zheng
AAML
39
115
0
01 Jul 2021
An Empirical Survey of Data Augmentation for Limited Data Learning in
  NLP
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP
Jiaao Chen
Derek Tam
Colin Raffel
Joey Tianyi Zhou
Diyi Yang
28
172
0
14 Jun 2021
Reliability Testing for Natural Language Processing Systems
Reliability Testing for Natural Language Processing Systems
Samson Tan
Chenyu You
K. Baxter
Araz Taeihagh
G. Bennett
Min-Yen Kan
15
38
0
06 May 2021
Robustness Tests of NLP Machine Learning Models: Search and Semantically
  Replace
Robustness Tests of NLP Machine Learning Models: Search and Semantically Replace
Rahul Singh
Karan Jindal
Yufei Yu
Hanyu Yang
Tarun Joshi
Matthew A. Campbell
Wayne B. Shoumaker
58
2
0
20 Apr 2021
Crossing the Conversational Chasm: A Primer on Natural Language
  Processing for Multilingual Task-Oriented Dialogue Systems
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems
E. Razumovskaia
Goran Glavavs
Olga Majewska
Edoardo Ponti
Anna Korhonen
Ivan Vulić
26
32
0
17 Apr 2021
Gradient-based Adversarial Attacks against Text Transformers
Gradient-based Adversarial Attacks against Text Transformers
Chuan Guo
Alexandre Sablayrolles
Hervé Jégou
Douwe Kiela
SILM
106
227
0
15 Apr 2021
BBAEG: Towards BERT-based Biomedical Adversarial Example Generation for
  Text Classification
BBAEG: Towards BERT-based Biomedical Adversarial Example Generation for Text Classification
Ishani Mondal
AAML
SILM
MedIm
17
14
0
05 Apr 2021
On the Adversarial Robustness of Vision Transformers
On the Adversarial Robustness of Vision Transformers
Rulin Shao
Zhouxing Shi
Jinfeng Yi
Pin-Yu Chen
Cho-Jui Hsieh
ViT
33
137
0
29 Mar 2021
Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots
Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots
Samson Tan
Chenyu You
AAML
29
35
0
17 Mar 2021
T-Miner: A Generative Approach to Defend Against Trojan Attacks on
  DNN-based Text Classification
T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification
A. Azizi
I. A. Tahmid
Asim Waheed
Neal Mangaokar
Jiameng Pu
M. Javed
Chandan K. Reddy
Bimal Viswanath
AAML
25
77
0
07 Mar 2021
Generating Natural Language Attacks in a Hard Label Black Box Setting
Generating Natural Language Attacks in a Hard Label Black Box Setting
Rishabh Maheshwary
Saket Maheshwary
Vikram Pudi
AAML
30
103
0
29 Dec 2020
Explaining NLP Models via Minimal Contrastive Editing (MiCE)
Explaining NLP Models via Minimal Contrastive Editing (MiCE)
Alexis Ross
Ana Marasović
Matthew E. Peters
33
119
0
27 Dec 2020
A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal
  Trigger's Adversarial Attacks
A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger's Adversarial Attacks
Thai Le
Noseong Park
Dongwon Lee
10
23
0
20 Nov 2020
Geometry matters: Exploring language examples at the decision boundary
Geometry matters: Exploring language examples at the decision boundary
Debajyoti Datta
Shashwat Kumar
Laura E. Barnes
Tom Fletcher
AAML
12
3
0
14 Oct 2020
Can Adversarial Weight Perturbations Inject Neural Backdoors?
Can Adversarial Weight Perturbations Inject Neural Backdoors?
Siddhant Garg
Adarsh Kumar
Vibhor Goel
Yingyu Liang
AAML
48
86
0
04 Aug 2020
TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and
  Adversarial Training in NLP
TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP
John X. Morris
Eli Lifland
Jin Yong Yoo
J. E. Grigsby
Di Jin
Yanjun Qi
SILM
27
69
0
29 Apr 2020
Semantic Robustness of Models of Source Code
Semantic Robustness of Models of Source Code
Goutham Ramakrishnan
Jordan Henkel
Zi Wang
Aws Albarghouthi
S. Jha
Thomas W. Reps
SILM
AAML
41
97
0
07 Feb 2020
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
258
915
0
21 Apr 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
293
5,842
0
08 Jul 2016
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
267
13,368
0
25 Aug 2014
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