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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

27 July 2019
Di Jin
Zhijing Jin
Qiufeng Wang
Peter Szolovits
    SILM
    AAML
ArXivPDFHTML

Papers citing "Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment"

50 / 196 papers shown
Title
"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak
  Prompts on Large Language Models
"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models
Xinyue Shen
Zhenpeng Chen
Michael Backes
Yun Shen
Yang Zhang
SILM
40
249
0
07 Aug 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
AAML
FAtt
10
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
44
18
0
31 Jul 2023
Set-level Guidance Attack: Boosting Adversarial Transferability of
  Vision-Language Pre-training Models
Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models
Dong Lu
Zhiqiang Wang
Teng Wang
Weili Guan
Hongchang Gao
Feng Zheng
AAML
53
65
0
26 Jul 2023
Exploring New Frontiers in Agricultural NLP: Investigating the Potential
  of Large Language Models for Food Applications
Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications
Saed Rezayi
Zheng Liu
Zihao Wu
Chandra Dhakal
Bao Ge
...
Gengchen Mai
Ninghao Liu
Chen Zhen
Tianming Liu
Sheng Li
28
32
0
20 Jun 2023
AMR4NLI: Interpretable and robust NLI measures from semantic graphs
AMR4NLI: Interpretable and robust NLI measures from semantic graphs
Juri Opitz
Shira Wein
Julius Steen
Anette Frank
Nathan Schneider
44
0
0
01 Jun 2023
Measuring the Robustness of NLP Models to Domain Shifts
Measuring the Robustness of NLP Models to Domain Shifts
Nitay Calderon
Naveh Porat
Eyal Ben-David
Alexander Chapanin
Zorik Gekhman
Nadav Oved
Vitaly Shalumov
Roi Reichart
21
7
0
31 May 2023
Modeling Adversarial Attack on Pre-trained Language Models as Sequential
  Decision Making
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
Adversarial Demonstration Attacks on Large Language Models
Adversarial Demonstration Attacks on Large Language Models
Jiong Wang
Zi-yang Liu
Keun Hee Park
Zhuojun Jiang
Zhaoheng Zheng
Zhuofeng Wu
Muhao Chen
Chaowei Xiao
SILM
42
52
0
24 May 2023
On Robustness of Finetuned Transformer-based NLP Models
On Robustness of Finetuned Transformer-based NLP Models
Pavan Kalyan Reddy Neerudu
S. Oota
Mounika Marreddy
Venkateswara Rao Kagita
Manish Gupta
32
7
0
23 May 2023
How Fragile is Relation Extraction under Entity Replacements?
How Fragile is Relation Extraction under Entity Replacements?
Yiwei Wang
Bryan Hooi
Fei Wang
Yujun Cai
Keli Zhang
Wenxuan Zhou
Jing Tang
Manjuan Duan
Muhao Chen
69
5
0
22 May 2023
A Survey of Safety and Trustworthiness of Large Language Models through
  the Lens of Verification and Validation
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation
Xiaowei Huang
Wenjie Ruan
Wei Huang
Gao Jin
Yizhen Dong
...
Sihao Wu
Peipei Xu
Dengyu Wu
André Freitas
Mustafa A. Mustafa
ALM
45
83
0
19 May 2023
Smaller Language Models are Better Black-box Machine-Generated Text
  Detectors
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
Attack Named Entity Recognition by Entity Boundary Interference
Attack Named Entity Recognition by Entity Boundary Interference
Yifei Yang
Hongqiu Wu
Hai Zhao
AAML
24
5
0
09 May 2023
Classification of news spreading barriers
Classification of news spreading barriers
Abdul Sittar
Dunja Mladenić
M. Grobelnik
18
0
0
10 Apr 2023
Evaluating the Robustness of Machine Reading Comprehension Models to Low
  Resource Entity Renaming
Evaluating the Robustness of Machine Reading Comprehension Models to Low Resource Entity Renaming
Clemencia Siro
T. Ajayi
26
2
0
06 Apr 2023
No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment
  using Adversarial Learning
No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning
Thorsten Eisenhofer
Erwin Quiring
Jonas Moller
Doreen Riepel
Thorsten Holz
Konrad Rieck
AAML
26
6
0
25 Mar 2023
An Overview on Language Models: Recent Developments and Outlook
An Overview on Language Models: Recent Developments and Outlook
Chengwei Wei
Yun Cheng Wang
Bin Wang
C.-C. Jay Kuo
30
42
0
10 Mar 2023
Greener yet Powerful: Taming Large Code Generation Models with
  Quantization
Greener yet Powerful: Taming Large Code Generation Models with Quantization
Xiaokai Wei
Sujan Kumar Gonugondla
W. Ahmad
Shiqi Wang
Baishakhi Ray
...
Ben Athiwaratkun
Mingyue Shang
M. K. Ramanathan
Parminder Bhatia
Bing Xiang
MQ
30
6
0
09 Mar 2023
Backdoor Learning for NLP: Recent Advances, Challenges, and Future
  Research Directions
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions
Marwan Omar
SILM
AAML
33
20
0
14 Feb 2023
TextDefense: Adversarial Text Detection based on Word Importance Entropy
TextDefense: Adversarial Text Detection based on Word Importance Entropy
Lujia Shen
Xuhong Zhang
S. Ji
Yuwen Pu
Chunpeng Ge
Xing Yang
Yanghe Feng
AAML
23
8
0
12 Feb 2023
Evaluating the Robustness of Discrete Prompts
Evaluating the Robustness of Discrete Prompts
Yoichi Ishibashi
Danushka Bollegala
Katsuhito Sudoh
Satoshi Nakamura
23
18
0
11 Feb 2023
Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial
  Text Attacks
Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial Text Attacks
Piotr Gaiñski
Klaudia Bałazy
27
6
0
10 Feb 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
41
5
0
03 Feb 2023
TransFool: An Adversarial Attack against Neural Machine Translation
  Models
TransFool: An Adversarial Attack against Neural Machine Translation Models
Sahar Sadrizadeh
Ljiljana Dolamic
P. Frossard
SILM
AAML
39
12
0
02 Feb 2023
Towards Robustness of Text-to-SQL Models Against Natural and Realistic
  Adversarial Table Perturbation
Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbation
Xinyu Pi
Bin Wang
Yan Gao
Jiaqi Guo
Zhoujun Li
Jian-Guang Lou
LMTD
30
30
0
20 Dec 2022
AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical
  Applications with Categorical Inputs
AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs
Helene Orsini
Hongyan Bao
Yujun Zhou
Xiangrui Xu
Yufei Han
Longyang Yi
Wei Wang
Xin Gao
Xiangliang Zhang
AAML
44
1
0
13 Dec 2022
UPTON: Preventing Authorship Leakage from Public Text Release via Data
  Poisoning
UPTON: Preventing Authorship Leakage from Public Text Release via Data Poisoning
Ziyao Wang
Thai Le
Dongwon Lee
36
1
0
17 Nov 2022
Generating Textual Adversaries with Minimal Perturbation
Generating Textual Adversaries with Minimal Perturbation
Xingyi Zhao
Lu Zhang
Depeng Xu
Shuhan Yuan
DeLMO
AAML
14
2
0
12 Nov 2022
Impact of Adversarial Training on Robustness and Generalizability of
  Language Models
Impact of Adversarial Training on Robustness and Generalizability of Language Models
Enes Altinisik
Hassan Sajjad
Husrev Taha Sencar
Safa Messaoud
Sanjay Chawla
AAML
24
8
0
10 Nov 2022
Robust Smart Home Face Recognition under Starving Federated Data
Robust Smart Home Face Recognition under Starving Federated Data
Jaechul Roh
Yajun Fang
FedML
CVBM
AAML
26
0
0
10 Nov 2022
MSDT: Masked Language Model Scoring Defense in Text Domain
MSDT: Masked Language Model Scoring Defense in Text Domain
Jaechul Roh
Minhao Cheng
Yajun Fang
AAML
17
1
0
10 Nov 2022
Accelerating Adversarial Perturbation by 50% with Semi-backward
  Propagation
Accelerating Adversarial Perturbation by 50% with Semi-backward Propagation
Zhiqi Bu
AAML
27
0
0
09 Nov 2022
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as
  Artificial Adversaries?
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries?
Saadia Gabriel
Hamid Palangi
Yejin Choi
AAML
42
1
0
08 Nov 2022
Preserving Semantics in Textual Adversarial Attacks
Preserving Semantics in Textual Adversarial Attacks
David Herel
Hugo Cisneros
Tomáš Mikolov
AAML
40
6
0
08 Nov 2022
Robust Lottery Tickets for Pre-trained Language Models
Robust Lottery Tickets for Pre-trained Language Models
Rui Zheng
Rong Bao
Yuhao Zhou
Di Liang
Sirui Wang
Wei Wu
Tao Gui
Qi Zhang
Xuanjing Huang
AAML
30
13
0
06 Nov 2022
Textual Manifold-based Defense Against Natural Language Adversarial
  Examples
Textual Manifold-based Defense Against Natural Language Adversarial Examples
D. M. Nguyen
Anh Tuan Luu
AAML
27
17
0
05 Nov 2022
Character-level White-Box Adversarial Attacks against Transformers via
  Attachable Subwords Substitution
Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution
Aiwei Liu
Honghai Yu
Xuming Hu
Shuang Li
Li Lin
Fukun Ma
Yawen Yang
Lijie Wen
36
33
0
31 Oct 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
26
15
0
27 Oct 2022
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR)
  for Metaverses
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for Metaverses
Adnan Qayyum
M. A. Butt
Hassan Ali
Muhammad Usman
O. Halabi
Ala I. Al-Fuqaha
Q. Abbasi
Muhammad Ali Imran
Junaid Qadir
30
32
0
24 Oct 2022
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and
  Model Uncertainty Estimation
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation
Fan Yin
Yao Li
Cho-Jui Hsieh
Kai-Wei Chang
AAML
69
4
0
22 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
39
3
0
21 Oct 2022
Identifying Human Strategies for Generating Word-Level Adversarial
  Examples
Identifying Human Strategies for Generating Word-Level Adversarial Examples
Maximilian Mozes
Bennett Kleinberg
Lewis D. Griffin
AAML
33
1
0
20 Oct 2022
AugCSE: Contrastive Sentence Embedding with Diverse Augmentations
AugCSE: Contrastive Sentence Embedding with Diverse Augmentations
Zilu Tang
Muhammed Yusuf Kocyigit
Derry Wijaya
35
9
0
20 Oct 2022
Why Should Adversarial Perturbations be Imperceptible? Rethink the
  Research Paradigm in Adversarial NLP
Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP
Yangyi Chen
Hongcheng Gao
Ganqu Cui
Fanchao Qi
Longtao Huang
Zhiyuan Liu
Maosong Sun
SILM
25
45
0
19 Oct 2022
Attribution and Obfuscation of Neural Text Authorship: A Data Mining
  Perspective
Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective
Adaku Uchendu
Thai Le
Dongwon Lee
DeLMO
32
41
0
19 Oct 2022
ROSE: Robust Selective Fine-tuning for Pre-trained Language Models
ROSE: Robust Selective Fine-tuning for Pre-trained Language Models
Lan Jiang
Hao Zhou
Yankai Lin
Peng Li
Jie Zhou
R. Jiang
AAML
37
8
0
18 Oct 2022
Deepfake Text Detection: Limitations and Opportunities
Deepfake Text Detection: Limitations and Opportunities
Jiameng Pu
Zain Sarwar
Sifat Muhammad Abdullah
A. Rehman
Yoonjin Kim
P. Bhattacharya
M. Javed
Bimal Viswanath
AAML
24
54
0
17 Oct 2022
Can Language Representation Models Think in Bets?
Can Language Representation Models Think in Bets?
Zhi–Bin Tang
Mayank Kejriwal
15
6
0
14 Oct 2022
Enhance the Visual Representation via Discrete Adversarial Training
Enhance the Visual Representation via Discrete Adversarial Training
Xiaofeng Mao
YueFeng Chen
Ranjie Duan
Yao Zhu
Gege Qi
Shaokai Ye
Xiaodan Li
Rong Zhang
Hui Xue
44
31
0
16 Sep 2022
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