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1707.07328
Cited By
Adversarial Examples for Evaluating Reading Comprehension Systems
23 July 2017
Robin Jia
Abigail Z. Jacobs
AAML
ELM
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Papers citing
"Adversarial Examples for Evaluating Reading Comprehension Systems"
50 / 926 papers shown
Adversary for Social Good: Leveraging Adversarial Attacks to Protect Personal Attribute Privacy
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Xiaoting Li
Ling-Hao Chen
Dinghao Wu
AAML
SILM
161
9
0
04 Jun 2023
A Multilingual Evaluation of NER Robustness to Adversarial Inputs
Workshop on Representation Learning for NLP (RepL4NLP), 2023
A. Srinivasan
Sowmya Vajjala
AAML
223
6
0
30 May 2023
Fighting Bias with Bias: Promoting Model Robustness by Amplifying Dataset Biases
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Yuval Reif
Roy Schwartz
273
8
0
30 May 2023
Robust Natural Language Understanding with Residual Attention Debiasing
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Fei Wang
James Y. Huang
Tianyi Yan
Wenxuan Zhou
Muhao Chen
165
13
0
28 May 2023
Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Ruixiang Tang
Dehan Kong
Lo-li Huang
Hui Xue
307
77
0
26 May 2023
Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Ashim Gupta
Carter Blum
Temma Choji
Yingjie Fei
Shalin S Shah
Alakananda Vempala
Vivek Srikumar
AAML
210
12
0
25 May 2023
Exploring Automatically Perturbed Natural Language Explanations in Relation Extraction
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Wanyun Cui
Xingran Chen
LRM
AAML
193
0
0
24 May 2023
On Degrees of Freedom in Defining and Testing Natural Language Understanding
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Saku Sugawara
S. Tsugita
ELM
326
2
0
24 May 2023
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE
North American Chapter of the Association for Computational Linguistics (NAACL), 2023
Qin Liu
Fei Wang
Chaowei Xiao
Muhao Chen
AAML
273
29
0
24 May 2023
How Fragile is Relation Extraction under Entity Replacements?
Conference on Computational Natural Language Learning (CoNLL), 2023
Yiwei Wang
Bryan Hooi
Fei Wang
Yujun Cai
Yuxuan Liang
Wenxuan Zhou
Jing Tang
Manjuan Duan
Muhao Chen
235
6
0
22 May 2023
Pseudo-Label Training and Model Inertia in Neural Machine Translation
International Conference on Learning Representations (ICLR), 2023
B. Hsu
Anna Currey
Xing Niu
Maria Nuadejde
Georgiana Dinu
ODL
236
3
0
19 May 2023
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation
Artificial Intelligence Review (AIR), 2023
Xiaowei Huang
Wenjie Ruan
Wei Huang
Gao Jin
Yizhen Dong
...
Sihao Wu
Peipei Xu
Dengyu Wu
André Freitas
Mustafa A. Mustafa
ALM
351
146
0
19 May 2023
Echoes of Biases: How Stigmatizing Language Affects AI Performance
Yizhi Liu
Weiguang Wang
G. Gao
Ritu Agarwal
305
4
0
17 May 2023
Ortho-ODE: Enhancing Robustness and of Neural ODEs against Adversarial Attacks
V. Purohit
AAML
192
1
0
16 May 2023
Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibility
Wen-song Ye
Mingfeng Ou
Tianyi Li
Yipeng Chen
Xuetao Ma
...
Sai Wu
Jie Fu
Gang Chen
Haobo Wang
Jiaqi Zhao
424
45
0
15 May 2023
Measuring Consistency in Text-based Financial Forecasting Models
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Linyi Yang
Yingpeng Ma
Yue Zhang
233
4
0
15 May 2023
Think Twice: Measuring the Efficiency of Eliminating Prediction Shortcuts of Question Answering Models
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Lukávs Mikula
Michal vStefánik
Marek Petrovivc
Petr Sojka
203
6
0
11 May 2023
A Frustratingly Easy Improvement for Position Embeddings via Random Padding
Natural Language Processing and Chinese Computing (NLPCC), 2023
Mingxu Tao
Yansong Feng
Dongyan Zhao
147
6
0
08 May 2023
Toward Adversarial Training on Contextualized Language Representation
International Conference on Learning Representations (ICLR), 2023
Hongqiu Wu
Wenshu Fan
Han Shi
Haizhen Zhao
Hao Fei
AAML
157
15
0
08 May 2023
Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Neeraj Varshney
Chitta Baral
171
16
0
02 May 2023
Sentiment Perception Adversarial Attacks on Neural Machine Translation Systems
Vyas Raina
Mark Gales
AAML
192
1
0
02 May 2023
Revisiting Robustness in Graph Machine Learning
International Conference on Learning Representations (ICLR), 2023
Lukas Gosch
Daniel Sturm
Simon Geisler
Stephan Günnemann
AAML
OOD
330
25
0
01 May 2023
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training
Hao Fei
Tat-Seng Chua
Chenliang Li
Donghong Ji
Meishan Zhang
Yafeng Ren
182
58
0
19 Apr 2023
ESimCSE Unsupervised Contrastive Learning Jointly with UDA Semi-Supervised Learning for Large Label System Text Classification Mode
Ruan Lu
Zhou Hangcheng
Ran Meng
Zhao Jin
Qin JiaoYu
Wei Feng
Wang ChenZi
207
1
0
19 Apr 2023
Evaluating the Robustness of Machine Reading Comprehension Models to Low Resource Entity Renaming
Clemencia Siro
T. Ajayi
235
2
0
06 Apr 2023
Decentralized Adversarial Training over Graphs
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
Ying Cao
Elsa Rizk
Stefan Vlaski
Ali H. Sayed
AAML
592
3
0
23 Mar 2023
Adversarial Attacks against Binary Similarity Systems
IEEE Access (IEEE Access), 2023
Gianluca Capozzi
Daniele Cono DÉlia
Giuseppe Antonio Di Luna
Leonardo Querzoni
AAML
175
4
0
20 Mar 2023
Model-tuning Via Prompts Makes NLP Models Adversarially Robust
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Mrigank Raman
Pratyush Maini
J. Zico Kolter
Zachary Chase Lipton
Danish Pruthi
AAML
177
18
0
13 Mar 2023
Evaluating the Robustness of Conversational Recommender Systems by Adversarial Examples
Ali Montazeralghaem
James Allan
AAML
SILM
189
0
0
09 Mar 2023
Learning the Legibility of Visual Text Perturbations
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
D. Seth
Rickard Stureborg
Danish Pruthi
Bhuwan Dhingra
AAML
215
8
0
09 Mar 2023
Automatically Auditing Large Language Models via Discrete Optimization
International Conference on Machine Learning (ICML), 2023
Erik Jones
Anca Dragan
Aditi Raghunathan
Jacob Steinhardt
258
212
0
08 Mar 2023
Contrastive variational information bottleneck for aspect-based sentiment analysis
Knowledge-Based Systems (KBS), 2023
Ming-Wei Chang
Min Yang
Qingshan Jiang
Ruifeng Xu
310
7
0
06 Mar 2023
Multi-Agent Adversarial Training Using Diffusion Learning
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Ying Cao
Elsa Rizk
Stefan Vlaski
Ali H. Sayed
DiffM
250
4
0
03 Mar 2023
Frauds Bargain Attack: Generating Adversarial Text Samples via Word Manipulation Process
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Mingze Ni
Zhen-Biao Sun
Wei Liu
AAML
SILM
217
11
0
01 Mar 2023
Systematic Rectification of Language Models via Dead-end Analysis
International Conference on Learning Representations (ICLR), 2023
Mengyao Cao
Mehdi Fatemi
Jackie C.K. Cheung
Samira Shabanian
KELM
135
19
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27 Feb 2023
Empirical Investigation of Neural Symbolic Reasoning Strategies
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Yoichi Aoki
Keito Kudo
Tatsuki Kuribayashi
Ana Brassard
Masashi Yoshikawa
Keisuke Sakaguchi
Kentaro Inui
236
2
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16 Feb 2023
Robust Question Answering against Distribution Shifts with Test-Time Adaptation: An Empirical Study
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Hai Ye
Yuyang Ding
Juntao Li
Hwee Tou Ng
OOD
TTA
283
13
0
09 Feb 2023
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples
International Conference on Machine Learning (ICML), 2023
Chumeng Liang
Xiaoyu Wu
Yang Hua
Jiaru Zhang
Yiming Xue
Tao Song
Zhengui Xue
Ruhui Ma
Haibing Guan
DiffM
WIGM
245
186
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09 Feb 2023
Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descend
Ning Lu
Shengcai Liu
Zhirui Zhang
Qi. Wang
Haifeng Liu
Jiaheng Zhang
AAML
344
13
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06 Feb 2023
TextShield: Beyond Successfully Detecting Adversarial Sentences in Text Classification
International Conference on Learning Representations (ICLR), 2023
Lingfeng Shen
Ze Zhang
Haiyun Jiang
Ying-Cong Chen
AAML
341
9
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03 Feb 2023
The Impacts of Unanswerable Questions on the Robustness of Machine Reading Comprehension Models
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Son Quoc Tran
Phong Nguyen-Thuan Do
Uyen Le
Matt Kretchmar
ELM
AAML
175
10
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31 Jan 2023
Large Language Models Can Be Easily Distracted by Irrelevant Context
International Conference on Machine Learning (ICML), 2023
Freda Shi
Xinyun Chen
Kanishka Misra
Nathan Scales
David Dohan
Ed H. Chi
Nathanael Scharli
Denny Zhou
ReLM
RALM
LRM
658
823
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31 Jan 2023
Dynamic Scheduled Sampling with Imitation Loss for Neural Text Generation
Xiang Lin
Prathyusha Jwalapuram
Shafiq Joty
DiffM
168
0
0
31 Jan 2023
Node Injection for Class-specific Network Poisoning
Neural Networks (Neural Netw.), 2023
Ansh Sharma
Rahul Kukreja
Mayank Kharbanda
Tanmoy Chakraborty
AAML
GNN
249
14
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28 Jan 2023
Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness
International Conference on Learning Representations (ICLR), 2023
Shuaichen Chang
Jun Wang
Mingwen Dong
Lin Pan
Henghui Zhu
...
William Yang Wang
Zhiguo Wang
Vittorio Castelli
Patrick Ng
Bing Xiang
OOD
296
54
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21 Jan 2023
EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health Records
Neural Information Processing Systems (NeurIPS), 2023
Gyubok Lee
Hyeonji Hwang
Seongsu Bae
Yeonsu Kwon
W. Shin
Seongjun Yang
Minjoon Seo
Jong-Yeup Kim
Edward Choi
282
42
0
16 Jan 2023
Can Large Language Models Change User Preference Adversarially?
Varshini Subhash
AAML
183
9
0
05 Jan 2023
EDoG: Adversarial Edge Detection For Graph Neural Networks
Xiaojun Xu
Yue Yu
Hanzhang Wang
Alok Lal
C.A. Gunter
Bo Li
AAML
309
12
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27 Dec 2022
Analyzing Semantic Faithfulness of Language Models via Input Intervention on Question Answering
International Conference on Computational Logic (ICCL), 2022
Akshay Chaturvedi
Swarnadeep Bhar
Soumadeep Saha
Utpal Garain
Nicholas Asher
237
8
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21 Dec 2022
Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbation
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Xinyu Pi
Bin Wang
Yan Gao
Jiaqi Guo
Zhoujun Li
Jian-Guang Lou
LMTD
218
39
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20 Dec 2022
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