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

27 July 2019

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

50 / 196 papers shown

Title
Class-Level Logit Perturbation Mengyang Li Fengguang Su O. Wu Tianjin University AAML 31 3 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 24 5 0 08 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 44 0 0 30 Aug 2022
Shortcut Learning of Large Language Models in Natural Language Understanding Mengnan Du Fengxiang He Na Zou Dacheng Tao Xia Hu KELM OffRL 40 84 0 25 Aug 2022
Mere Contrastive Learning for Cross-Domain Sentiment Analysis Yun Luo Fang Guo Zihan Liu Yue Zhang 39 15 0 18 Aug 2022
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
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 32 9 0 17 Aug 2022
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
Is Multi-Modal Necessarily Better? Robustness Evaluation of Multi-modal Fake News Detection Jinyin Chen Chengyu Jia Haibin Zheng Ruoxi Chen Chenbo Fu AAML 22 10 0 17 Jun 2022
Adversarial Text Normalization Joanna Bitton Maya Pavlova Ivan Evtimov AAML 30 2 0 08 Jun 2022
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
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 32 10 0 25 May 2022
Learning to Ignore Adversarial Attacks Yiming Zhang Yan Zhou Samuel Carton Chenhao Tan 54 2 0 23 May 2022
Down and Across: Introducing Crossword-Solving as a New NLP Benchmark Saurabh Kulshreshtha Olga Kovaleva Namrata Shivagunde Anna Rumshisky ELM LRM 32 4 0 20 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 40 23 0 13 May 2022
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 Jonathan Rusert P. Srinivasan AAML 19 3 0 03 May 2022
BERTops: Studying BERT Representations under a Topological Lens Jatin Chauhan Manohar Kaul 24 3 0 02 May 2022
Logically Consistent Adversarial Attacks for Soft Theorem Provers Alexander Gaskell Yishu Miao Lucia Specia Francesca Toni AAML 18 7 0 29 Apr 2022
What do we Really Know about State of the Art NER? Sowmya Vajjala Ramya Balasubramaniam 27 15 0 29 Apr 2022
Detecting Textual Adversarial Examples Based on Distributional Characteristics of Data Representations Na Liu Mark Dras Wei Emma Zhang AAML 22 6 0 29 Apr 2022
"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 Hanjie Chen Yangfeng Ji OOD AAML VLM 32 21 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 31 9 0 23 Mar 2022
On The Robustness of Offensive Language Classifiers Jonathan Rusert Zubair Shafiq P. Srinivasan AAML 21 12 0 21 Mar 2022
Towards Explainable Evaluation Metrics for Natural Language Generation Christoph Leiter Piyawat Lertvittayakumjorn M. Fomicheva Wei-Ye Zhao Yang Gao Steffen Eger AAML ELM 30 20 0 21 Mar 2022
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
RoMe: A Robust Metric for Evaluating Natural Language Generation Md. Rony Liubov Kovriguina Debanjan Chaudhuri Ricardo Usbeck Jens Lehmann 22 12 0 17 Mar 2022
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
$$\mathcal{Y}$-Tuning: An Efficient Tuning Paradigm for Large-Scale Pre-Trained Models via Label Representation Learning$ $\mathcal{Y}$ -Tuning: An Efficient Tuning Paradigm for Large-Scale Pre-Trained Models via Label Representation Learning Yitao Liu Chen An Xipeng Qiu 29 17 0 20 Feb 2022
On The Empirical Effectiveness of Unrealistic Adversarial Hardening Against Realistic Adversarial Attacks Salijona Dyrmishi Salah Ghamizi Thibault Simonetto Yves Le Traon Maxime Cordy AAML 32 16 0 07 Feb 2022
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 Marwan Omar Soohyeon Choi Daehun Nyang David A. Mohaisen 32 57 0 03 Jan 2022
Distilling the Knowledge of Romanian BERTs Using Multiple Teachers Andrei-Marius Avram Darius Catrina Dumitru-Clementin Cercel Mihai Dascualu Traian Rebedea Vasile Puaics Dan Tufics 22 12 0 23 Dec 2021
Understanding and Measuring Robustness of Multimodal Learning Nishant Vishwamitra Hongxin Hu Ziming Zhao Long Cheng Feng Luo AAML 27 5 0 22 Dec 2021
Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction Dongfang Li Baotian Hu Qingcai Chen Tujie Xu Jingcong Tao Yunan Zhang 32 12 0 20 Dec 2021
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
SNEAK: Synonymous Sentences-Aware Adversarial Attack on Natural Language Video Localization Wenbo Gou Wen Shi Jian Lou Lijie Huang Pan Zhou Ruixuan Li AAML 37 2 0 08 Dec 2021
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View Di Jin Elena Sergeeva W. Weng Geeticka Chauhan Peter Szolovits OOD 39 55 0 05 Dec 2021
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 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
Effective and Imperceptible Adversarial Textual Attack via Multi-objectivization Shengcai Liu Ning Lu W. Hong Chao Qian Ke Tang AAML 22 15 0 02 Nov 2021
Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions I. Alsmadi Kashif Ahmad Mahmoud Nazzal Firoj Alam Ala I. Al-Fuqaha Abdallah Khreishah A. Algosaibi AAML 27 16 0 26 Oct 2021
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer Fanchao Qi Yangyi Chen Xurui Zhang Mukai Li Zhiyuan Liu Maosong Sun AAML SILM 82 175 0 14 Oct 2021
Noisy Text Data: Achilles' Heel of popular transformer based NLP models Kartikay Bagla Ankit Kumar Shivam Gupta Anuj Gupta 29 5 0 07 Oct 2021
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
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
Automatically Exposing Problems with Neural Dialog Models Dian Yu Kenji Sagae 31 9 0 14 Sep 2021
Adversarial Examples for Evaluating Math Word Problem Solvers Vivek Kumar Rishabh Maheshwary Vikram Pudi AAML 30 33 0 13 Sep 2021
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models Kun Zhou Wayne Xin Zhao Sirui Wang Fuzheng Zhang Wei Wu Ji-Rong Wen AAML 29 7 0 13 Sep 2021