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  3. 2005.04364
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It's Morphin' Time! Combating Linguistic Discrimination with
  Inflectional Perturbations

It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations

9 May 2020
Samson Tan
Shafiq Joty
Min-Yen Kan
R. Socher
ArXiv (abs)PDFHTML

Papers citing "It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations"

50 / 66 papers shown
Title
Text Adversarial Attacks with Dynamic Outputs
Text Adversarial Attacks with Dynamic Outputs
Wenqiang Wang
Siyuan Liang
Xiao Yan
Xiaochun Cao
AAML
4
0
0
26 Sep 2025
Multi-task Adversarial Attacks against Black-box Model with Few-shot Queries
Multi-task Adversarial Attacks against Black-box Model with Few-shot Queries
Wenqiang Wang
Yan Xiao
Hao Lin
Yangshijie Zhang
Xiaochun Cao
AAML
43
0
0
10 Aug 2025
Adversarial Defence without Adversarial Defence: Enhancing Language Model Robustness via Instance-level Principal Component Removal
Adversarial Defence without Adversarial Defence: Enhancing Language Model Robustness via Instance-level Principal Component Removal
Yang Wang
Chenghao Xiao
Yizhi Li
Stuart E. Middleton
Noura Al Moubayed
C. D. Lin
AAML
35
1
0
29 Jul 2025
A Representation Level Analysis of NMT Model Robustness to Grammatical Errors
A Representation Level Analysis of NMT Model Robustness to Grammatical Errors
Abderrahmane Issam
Yusuf Can Semerci
Jan Scholtes
Gerasimos Spanakis
102
0
0
27 May 2025
FLUKE: A Linguistically-Driven and Task-Agnostic Framework for Robustness Evaluation
FLUKE: A Linguistically-Driven and Task-Agnostic Framework for Robustness Evaluation
Yulia Otmakhova
Hung Thinh Truong
Rahmad Mahendra
Zenan Zhai
Rongxin Zhu
Daniel Beck
Jey Han Lau
ELM
258
0
0
24 Apr 2025
Pay Attention to Real World Perturbations! Natural Robustness Evaluation in Machine Reading Comprehension
Pay Attention to Real World Perturbations! Natural Robustness Evaluation in Machine Reading Comprehension
Yulong Wu
Viktor Schlegel
Riza Batista-Navarro
AAML
167
1
0
23 Feb 2025
Confidence Elicitation: A New Attack Vector for Large Language Models
Confidence Elicitation: A New Attack Vector for Large Language Models
Brian Formento
Chuan-Sheng Foo
See-Kiong Ng
AAML
336
1
0
07 Feb 2025
Are Language Models Agnostic to Linguistically Grounded Perturbations? A
  Case Study of Indic Languages
Are Language Models Agnostic to Linguistically Grounded Perturbations? A Case Study of Indic Languages
Poulami Ghosh
Mary Dabre
Pushpak Bhattacharyya
AAML
181
0
0
14 Dec 2024
Algorithmic Fairness: A Tolerance Perspective
Algorithmic Fairness: A Tolerance Perspective
Renqiang Luo
Tao Tang
Xiwei Xu
Jiaying Liu
Chengpei Xu
Leo Yu Zhang
Wei Xiang
Chengqi Zhang
FaML
119
1
0
26 Apr 2024
SemRoDe: Macro Adversarial Training to Learn Representations That are
  Robust to Word-Level Attacks
SemRoDe: Macro Adversarial Training to Learn Representations That are Robust to Word-Level Attacks
Brian Formento
Wenjie Feng
Chuan-Sheng Foo
Anh Tuan Luu
See-Kiong Ng
AAML
157
9
0
27 Mar 2024
Reversible Jump Attack to Textual Classifiers with Modification
  Reduction
Reversible Jump Attack to Textual Classifiers with Modification Reduction
Mingze Ni
Zhensu Sun
Wei Liu
AAML
99
0
0
21 Mar 2024
Extreme Miscalibration and the Illusion of Adversarial Robustness
Extreme Miscalibration and the Illusion of Adversarial Robustness
Vyas Raina
Samson Tan
Volkan Cevher
Aditya Rawal
Sheng Zha
George Karypis
AAML
152
3
0
27 Feb 2024
Exploring the Robustness of Task-oriented Dialogue Systems for
  Colloquial German Varieties
Exploring the Robustness of Task-oriented Dialogue Systems for Colloquial German Varieties
Ekaterina Artemova
Verena Blaschke
Barbara Plank
117
5
0
03 Feb 2024
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically
Anay Mehrotra
Manolis Zampetakis
Paul Kassianik
Blaine Nelson
Hyrum Anderson
Yaron Singer
Amin Karbasi
151
351
0
04 Dec 2023
Break it, Imitate it, Fix it: Robustness by Generating Human-Like
  Attacks
Break it, Imitate it, Fix it: Robustness by Generating Human-Like Attacks
Aradhana Sinha
Ananth Balashankar
Ahmad Beirami
Thi Avrahami
Jilin Chen
Alex Beutel
AAML
112
5
0
25 Oct 2023
Using Weak Supervision and Data Augmentation in Question Answering
Using Weak Supervision and Data Augmentation in Question Answering
Chumki Basu
Binyuan Hui
Allen McIntosh
Wei Wang
J. Wullert
OOD
162
0
0
28 Sep 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
182
28
0
31 Jul 2023
Sample Attackability in Natural Language Adversarial Attacks
Sample Attackability in Natural Language Adversarial Attacks
Vyas Raina
Mark Gales
SILM
142
1
0
21 Jun 2023
Sociodemographic Bias in Language Models: A Survey and Forward Path
Sociodemographic Bias in Language Models: A Survey and Forward Path
Vipul Gupta
Pranav Narayanan Venkit
Shomir Wilson
R. Passonneau
167
31
0
13 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
136
6
0
29 May 2023
Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by
  Rewriting Text
Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text
Ashim Gupta
Carter Blum
Temma Choji
Yingjie Fei
Shalin S Shah
Alakananda Vempala
Vivek Srikumar
AAML
91
12
0
25 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
120
6
0
09 May 2023
READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input
  Noises
READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises
Chenglei Si
Zhengyan Zhang
Yingfa Chen
Xiaozhi Wang
Zhiyuan Liu
Maosong Sun
AAML
98
1
0
14 Feb 2023
Prompting GPT-3 To Be Reliable
Prompting GPT-3 To Be Reliable
Chenglei Si
Zhe Gan
Zhengyuan Yang
Shuohang Wang
Jianfeng Wang
Jordan L. Boyd-Graber
Lijuan Wang
KELMLRM
184
317
0
17 Oct 2022
Robustification of Multilingual Language Models to Real-world Noise in
  Crosslingual Zero-shot Settings with Robust Contrastive Pretraining
Robustification of Multilingual Language Models to Real-world Noise in Crosslingual Zero-shot Settings with Robust Contrastive Pretraining
Asa Cooper Stickland
Sailik Sengupta
Jason Krone
Saab Mansour
He He
184
9
0
10 Oct 2022
Are Synonym Substitution Attacks Really Synonym Substitution Attacks?
Are Synonym Substitution Attacks Really Synonym Substitution Attacks?
Cheng-Han Chiang
Hunghuei Lee
AAML
136
5
0
06 Oct 2022
Order-Disorder: Imitation Adversarial Attacks for Black-box Neural
  Ranking Models
Order-Disorder: Imitation Adversarial Attacks for Black-box Neural Ranking Models
Jiawei Liu
Yangyang Kang
Di Tang
Kaisong Song
Changlong Sun
Wenyuan Xu
Wei Lu
Xiaozhong Liu
AAML
166
46
0
14 Sep 2022
Teacher Guided Training: An Efficient Framework for Knowledge Transfer
Teacher Guided Training: An Efficient Framework for Knowledge Transfer
Manzil Zaheer
A. S. Rawat
Seungyeon Kim
Chong You
Himanshu Jain
Andreas Veit
Rob Fergus
Surinder Kumar
VLM
107
2
0
14 Aug 2022
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms
  and Research Challenges
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges
Zhenghua Chen
Ruibing Jin
Alvin Chan
Xiaoli Li
Yew-Soon Ong
90
9
0
08 May 2022
Data Governance in the Age of Large-Scale Data-Driven Language
  Technology
Data Governance in the Age of Large-Scale Data-Driven Language Technology
Yacine Jernite
Huu Nguyen
Stella Biderman
A. Rogers
Maraim Masoud
...
Jorg Frohberg
Aaron Gokaslan
Peter Henderson
Rishi Bommasani
Margaret Mitchell
122
54
0
04 May 2022
The Risks of Machine Learning Systems
The Risks of Machine Learning Systems
Samson Tan
Araz Taeihagh
K. Baxter
70
6
0
21 Apr 2022
Can Question Rewriting Help Conversational Question Answering?
Can Question Rewriting Help Conversational Question Answering?
Etsuko Ishii
Yan Xu
Samuel Cahyawijaya
Bryan Wilie
129
12
0
13 Apr 2022
VALUE: Understanding Dialect Disparity in NLU
VALUE: Understanding Dialect Disparity in NLU
Caleb Ziems
Jiaao Chen
Camille Harris
J. Anderson
Diyi Yang
ELM
188
46
0
06 Apr 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
132
32
0
15 Mar 2022
Speciesist Language and Nonhuman Animal Bias in English Masked Language
  Models
Speciesist Language and Nonhuman Animal Bias in English Masked Language Models
Masashi Takeshita
Rafal Rzepka
K. Araki
143
7
0
10 Mar 2022
Incorporating Hierarchy into Text Encoder: a Contrastive Learning
  Approach for Hierarchical Text Classification
Incorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification
Zihan Wang
Peiyi Wang
Lianzhe Huang
Xin Sun
Houfeng Wang
AILawVLM
108
123
0
08 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
75
35
0
14 Feb 2022
Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded
  Language from Percepts and Raw Speech
Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech
Gaoussou Youssouf Kebe
Luke E. Richards
Edward Raff
Francis Ferraro
Cynthia Matuszek
SSL
121
5
0
27 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
360
146
0
15 Dec 2021
Spinning Language Models: Risks of Propaganda-As-A-Service and
  Countermeasures
Spinning Language Models: Risks of Propaganda-As-A-Service and Countermeasures
Eugene Bagdasaryan
Vitaly Shmatikov
SILMAAML
165
87
0
09 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
280
93
0
06 Dec 2021
Effective and Imperceptible Adversarial Textual Attack via
  Multi-objectivization
Effective and Imperceptible Adversarial Textual Attack via Multi-objectivization
Shengcai Liu
Ning Lu
W. Hong
Chao Qian
Ke Tang
AAML
191
15
0
02 Nov 2021
On the Universality of Deep Contextual Language Models
On the Universality of Deep Contextual Language ModelsICON (ICON), 2024
Shaily Bhatt
Poonam Goyal
Sandipan Dandapat
Monojit Choudhury
Sunayana Sitaram
ELM
122
5
0
15 Sep 2021
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
227
34
0
06 Sep 2021
Post-hoc Interpretability for Neural NLP: A Survey
Post-hoc Interpretability for Neural NLP: A Survey
Andreas Madsen
Siva Reddy
A. Chandar
XAI
213
251
0
10 Aug 2021
A Differentiable Language Model Adversarial Attack on Text Classifiers
A Differentiable Language Model Adversarial Attack on Text Classifiers
I. Fursov
Alexey Zaytsev
Pavel Burnyshev
Ekaterina Dmitrieva
Nikita Klyuchnikov
A. Kravchenko
Ekaterina Artemova
Evgeny Burnaev
SILM
99
18
0
23 Jul 2021
Spinning Sequence-to-Sequence Models with Meta-Backdoors
Eugene Bagdasaryan
Vitaly Shmatikov
SILMAAML
123
8
0
22 Jul 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
111
122
0
01 Jul 2021
Quantifying Social Biases in NLP: A Generalization and Empirical
  Comparison of Extrinsic Fairness Metrics
Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics
Paula Czarnowska
Yogarshi Vyas
Kashif Shah
127
118
0
28 Jun 2021
A Survey of Race, Racism, and Anti-Racism in NLP
A Survey of Race, Racism, and Anti-Racism in NLP
Anjalie Field
Su Lin Blodgett
Zeerak Talat
Yulia Tsvetkov
158
129
0
21 Jun 2021
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