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

27 July 2019

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

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Title
Machine Reading, Fast and Slow: When Do Models "Understand" Language? Sagnik Ray Choudhury Anna Rogers Isabelle Augenstein LRM 67 18 0 15 Sep 2022
Class-Level Logit Perturbation Mengyang Li Fengguang Su O. Wu Tianjin University AAML 100 4 0 13 Sep 2022
Towards explainable evaluation of language models on the semantic similarity of visual concepts Maria Lymperaiou George Manoliadis Orfeas Menis Mastromichalakis Edmund Dervakos Giorgos Stamou AAML 68 5 0 08 Sep 2022
Entity Aware Syntax Tree Based Data Augmentation for Natural Language Understanding Jiaxing Xu Jianbin Cui Jiangneng Li Wenge Rong Noboru Matsuda 27 1 0 06 Sep 2022
Constraining Representations Yields Models That Know What They Don't Know João Monteiro Pau Rodríguez López Pierre-Andre Noel I. Laradji David Vazquez AAML 111 0 0 30 Aug 2022
Shortcut Learning of Large Language Models in Natural Language Understanding Mengnan Du Fengxiang He Na Zou Dacheng Tao Helen Zhou KELM OffRL 132 90 0 25 Aug 2022
Mere Contrastive Learning for Cross-Domain Sentiment Analysis Yun Luo Fang Guo Zihan Liu Yue Zhang 67 15 0 18 Aug 2022
A Context-Aware Approach for Textual Adversarial Attack through Probability Difference Guided Beam Search Bin Ji Jie Yu Shasha Li Jun Ma Shezheng Song AAML 59 1 0 17 Aug 2022
ShortcutLens: A Visual Analytics Approach for Exploring Shortcuts in Natural Language Understanding Dataset Zhihua Jin Xingbo Wang Furui Cheng Chunhui Sun Qun Liu Huamin Qu 56 9 0 17 Aug 2022
BEIKE NLP at SemEval-2022 Task 4: Prompt-Based Paragraph Classification for Patronizing and Condescending Language Detection Yong Deng Chenxiao Dou Liangyu Chen D. Miao Xianghui Sun Baochang Ma Xiangang Li 33 9 0 02 Aug 2022
Catch Me If You Can: Deceiving Stance Detection and Geotagging Models to Protect Privacy of Individuals on Twitter Dilara Doğan Bahadir Altun Muhammed Said Zengin Mucahid Kutlu Tamer Elsayed 58 3 0 23 Jul 2022
Rethinking Textual Adversarial Defense for Pre-trained Language Models Jiayi Wang Rongzhou Bao Zhuosheng Zhang Hai Zhao AAML SILM 56 11 0 21 Jul 2022
Physical Passive Patch Adversarial Attacks on Visual Odometry Systems Yaniv Nemcovsky Matan Yaakoby A. Bronstein Chaim Baskin AAML 69 8 0 11 Jul 2022
Adversarial Robustness of Visual Dialog Lu Yu Verena Rieser AAML 74 0 0 06 Jul 2022
A Universal Adversarial Policy for Text Classifiers Gallil Maimon Lior Rokach AAML 123 10 0 19 Jun 2022
Is Multi-Modal Necessarily Better? Robustness Evaluation of Multi-modal Fake News Detection Jinyin Chen Chengyu Jia Haibin Zheng Ruoxi Chen Chenbo Fu AAML 68 12 0 17 Jun 2022
Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization Deokjae Lee Seungyong Moon Junhyeok Lee Hyun Oh Song AAML 64 39 0 17 Jun 2022
A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks Ganqu Cui Lifan Yuan Bingxiang He Yangyi Chen Zhiyuan Liu Maosong Sun AAML ELM SILM 95 73 0 17 Jun 2022
Improving the Adversarial Robustness of NLP Models by Information Bottleneck Ce Zhang Xiang Zhou Yixin Wan Xiaoqing Zheng Kai-Wei Chang Cho-Jui Hsieh 73 27 0 11 Jun 2022
Adversarial Text Normalization Joanna Bitton Maya Pavlova Ivan Evtimov AAML 49 2 0 08 Jun 2022
Extreme Compression for Pre-trained Transformers Made Simple and Efficient Xiaoxia Wu Z. Yao Minjia Zhang Conglong Li Yuxiong He MQ 65 31 0 04 Jun 2022
Kallima: A Clean-label Framework for Textual Backdoor Attacks Xiaoyi Chen Yinpeng Dong Zeyu Sun Shengfang Zhai Qingni Shen Zhonghai Wu AAML 49 32 0 03 Jun 2022
CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models Akshita Jha Chandan K. Reddy SILM ELM AAML 114 68 0 31 May 2022
Securing AI-based Healthcare Systems using Blockchain Technology: A State-of-the-Art Systematic Literature Review and Future Research Directions Rucha Shinde S. Patil K. Kotecha V. Potdar Ganeshsree Selvachandran Ajith Abraham 45 32 0 30 May 2022
BITE: Textual Backdoor Attacks with Iterative Trigger Injection Jun Yan Vansh Gupta Xiang Ren SILM 129 51 0 25 May 2022
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation Yanrui Du Jing Yang Yan Chen Jing Liu Sendong Zhao Qiaoqiao She Huaqin Wu Haifeng Wang Bing Qin 100 10 0 25 May 2022
The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training Gi-Cheon Kang Sungdong Kim Jin-Hwa Kim Donghyun Kwak Byoung-Tak Zhang 83 10 0 25 May 2022
Learning to Ignore Adversarial Attacks Yiming Zhang Yan Zhou Samuel Carton Chenhao Tan 82 2 0 23 May 2022
Phrase-level Textual Adversarial Attack with Label Preservation Yibin Lei Yu Cao Dianqi Li Dinesh Manocha Meng Fang Mykola Pechenizkiy AAML 110 24 0 22 May 2022
Down and Across: Introducing Crossword-Solving as a New NLP Benchmark Saurabh Kulshreshtha Olga Kovaleva Namrata Shivagunde Anna Rumshisky ELM LRM 110 4 0 20 May 2022
Gradient Aligned Attacks via a Few Queries Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML 67 0 0 19 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 78 23 0 13 May 2022
A Simple Yet Efficient Method for Adversarial Word-Substitute Attack Tianle Li Yi Yang AAML 66 0 0 07 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 52 3 0 03 May 2022
SemAttack: Natural Textual Attacks via Different Semantic Spaces Wei Ping Chejian Xu Xiangyu Liu Yuk-Kit Cheng Yue Liu SILM AAML 113 53 0 03 May 2022
BERTops: Studying BERT Representations under a Topological Lens Jatin Chauhan Manohar Kaul 70 4 0 02 May 2022
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Predictions Yong Xie Dakuo Wang Pin-Yu Chen Jinjun Xiong Sijia Liu Oluwasanmi Koyejo AAML 96 22 0 01 May 2022
Visualizing and Explaining Language Models Adrian M. P. Braşoveanu Razvan Andonie MILM VLM 96 5 0 30 Apr 2022
Logically Consistent Adversarial Attacks for Soft Theorem Provers Alexander Gaskell Yishu Miao Lucia Specia Francesca Toni AAML 36 7 0 29 Apr 2022
What do we Really Know about State of the Art NER? Sowmya Vajjala Ramya Balasubramaniam 52 17 0 29 Apr 2022
Detecting Textual Adversarial Examples Based on Distributional Characteristics of Data Representations Na Liu Mark Dras Wei Emma Zhang AAML 44 6 0 29 Apr 2022
Improving robustness of language models from a geometry-aware perspective Bin Zhu Zhaoquan Gu Le Wang Jinyin Chen Qi Xuan AAML 35 9 0 28 Apr 2022
"That Is a Suspicious Reaction!": Interpreting Logits Variation to Detect NLP Adversarial Attacks Edoardo Mosca Shreyash Agarwal Javier Rando Georg Groh AAML 95 31 0 10 Apr 2022
Understanding, Detecting, and Separating Out-of-Distribution Samples and Adversarial Samples in Text Classification Cheng-Han Chiang Hung-yi Lee OODD 58 1 0 09 Apr 2022
Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation Hanjie Chen Yangfeng Ji OOD AAML VLM 101 21 0 23 Mar 2022
Input-specific Attention Subnetworks for Adversarial Detection Emil Biju Anirudh Sriram Pratyush Kumar Mitesh M Khapra AAML 40 5 0 23 Mar 2022
ERNIE-SPARSE: Learning Hierarchical Efficient Transformer Through Regularized Self-Attention Yang Liu Jiaxiang Liu L. Chen Yuxiang Lu Shi Feng Zhida Feng Yu Sun Hao Tian Huancheng Wu Hai-feng Wang 70 9 0 23 Mar 2022
On The Robustness of Offensive Language Classifiers Jonathan Rusert Zubair Shafiq P. Srinivasan AAML 40 13 0 21 Mar 2022
Towards Explainable Evaluation Metrics for Natural Language Generation Christoph Leiter Piyawat Lertvittayakumjorn M. Fomicheva Wei Zhao Yang Gao Steffen Eger AAML ELM 76 20 0 21 Mar 2022
A Prompting-based Approach for Adversarial Example Generation and Robustness Enhancement Yuting Yang Pei Huang Juan Cao Jintao Li Yun Lin Jin Song Dong Feifei Ma Jian Zhang AAML SILM 96 13 0 21 Mar 2022