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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
Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training Kuan-Hao Huang Wasi Uddin Ahmad Nanyun Peng Kai-Wei Chang AAML 125 34 0 17 Apr 2021
AMMU : A Survey of Transformer-based Biomedical Pretrained Language Models Katikapalli Subramanyam Kalyan A. Rajasekharan S. Sangeetha LM&MA MedIm 112 171 0 16 Apr 2021
Towards Variable-Length Textual Adversarial Attacks Junliang Guo Zhirui Zhang Linlin Zhang Linli Xu Boxing Chen Enhong Chen Weihua Luo AAML 145 6 0 16 Apr 2021
Gradient-based Adversarial Attacks against Text Transformers Chuan Guo Alexandre Sablayrolles Hervé Jégou Douwe Kiela SILM 160 248 0 15 Apr 2021
Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation Chong Zhang Jieyu Zhao Huan Zhang Kai-Wei Chang Cho-Jui Hsieh AAML 66 10 0 12 Apr 2021
Achieving Model Robustness through Discrete Adversarial Training Maor Ivgi Jonathan Berant AAML 71 28 0 11 Apr 2021
Disentangled Contrastive Learning for Learning Robust Textual Representations Xiang Chen Xin Xie Zhen Bi Hongbin Ye Shumin Deng Ningyu Zhang Huajun Chen 57 5 0 11 Apr 2021
Transformers: "The End of History" for NLP? Anton Chernyavskiy Dmitry Ilvovsky Preslav Nakov 115 30 0 09 Apr 2021
Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction Luoqiu Li Xiang Chen Zhen Bi Xin Xie Shumin Deng Ningyu Zhang Chuanqi Tan Mosha Chen Huajun Chen AAML 112 7 0 01 Apr 2021
On the Adversarial Robustness of Vision Transformers Rulin Shao Zhouxing Shi Jinfeng Yi Pin-Yu Chen Cho-Jui Hsieh ViT 115 145 0 29 Mar 2021
BERT: A Review of Applications in Natural Language Processing and Understanding M. V. Koroteev VLM 134 225 0 22 Mar 2021
Grey-box Adversarial Attack And Defence For Sentiment Classification Ying Xu Xu Zhong Antonio Jimeno Yepes Jey Han Lau VLM AAML 70 54 0 22 Mar 2021
Model Extraction and Adversarial Transferability, Your BERT is Vulnerable! Xuanli He Lingjuan Lyu Xingliang Yuan Lichao Sun MIACV SILM 95 96 0 18 Mar 2021
Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots Samson Tan Shafiq Joty AAML 98 36 0 17 Mar 2021
ReinforceBug: A Framework to Generate Adversarial Textual Examples Bushra Sabir M. Babar R. Gaire SILM AAML 52 3 0 11 Mar 2021
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges Yoshitomo Matsubara Marco Levorato Francesco Restuccia 120 215 0 08 Mar 2021
T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification A. Azizi I. A. Tahmid Asim Waheed Neal Mangaokar Jiameng Pu M. Javed Chandan K. Reddy Bimal Viswanath AAML 67 82 0 07 Mar 2021
Token-Modification Adversarial Attacks for Natural Language Processing: A Survey Tom Roth Yansong Gao A. Abuadbba Surya Nepal Wei Liu AAML 106 12 0 01 Mar 2021
The Sensitivity of Word Embeddings-based Author Detection Models to Semantic-preserving Adversarial Perturbations Jeremiah Duncan Fabian Fallas Christopher Gropp Emily Herron Maria Mahbub ... Sudarshan Srinivasan Maofeng Tang V. Zenkov Quan Zhou Edmon Begoli DeLMO AAML 23 0 0 23 Feb 2021
Adversarial Stylometry in the Wild: Transferable Lexical Substitution Attacks on Author Profiling Chris Emmery Ákos Kádár Grzegorz Chrupała AAML 92 20 0 27 Jan 2021
Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs Kuan-Hao Huang Kai-Wei Chang 220 70 0 26 Jan 2021
Red Alarm for Pre-trained Models: Universal Vulnerability to Neuron-Level Backdoor Attacks Zhengyan Zhang Guangxuan Xiao Yongwei Li Tian Lv Fanchao Qi Zhiyuan Liu Yasheng Wang Xin Jiang Maosong Sun AAML 153 74 0 18 Jan 2021
Adversarial Machine Learning in Text Analysis and Generation I. Alsmadi AAML 112 5 0 14 Jan 2021
BERT & Family Eat Word Salad: Experiments with Text Understanding Ashim Gupta Giorgi Kvernadze Vivek Srikumar 258 73 0 10 Jan 2021
Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuning Chenglei Si Zhengyan Zhang Fanchao Qi Zhiyuan Liu Yasheng Wang Qun Liu Maosong Sun AAML SILM 101 69 0 31 Dec 2020
Robustness Testing of Language Understanding in Task-Oriented Dialog Jiexi Liu Ryuichi Takanobu Jiaxin Wen Dazhen Wan Hongguang Li Weiran Nie Cheng Li Wei Peng Minlie Huang ELM 122 49 0 30 Dec 2020
A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D Models Mohammed Hassanin Nour Moustafa M. Tahtali AAML 64 2 0 08 Dec 2020
Adversarial Evaluation of Multimodal Models under Realistic Gray Box Assumption Ivan Evtimov Russ Howes Brian Dolhansky Hamed Firooz Cristian Canton Ferrer AAML 46 10 0 25 Nov 2020
What do we expect from Multiple-choice QA Systems? Krunal Shah Nitish Gupta Dan Roth AAML 40 14 0 20 Nov 2020
CharBERT: Character-aware Pre-trained Language Model Wentao Ma Yiming Cui Chenglei Si Ting Liu Shijin Wang Guoping Hu 85 109 0 03 Nov 2020
Leveraging Extracted Model Adversaries for Improved Black Box Attacks Naveen Jafer Nizar Ari Kobren MIACV 30 0 0 30 Oct 2020
GiBERT: Introducing Linguistic Knowledge into BERT through a Lightweight Gated Injection Method Nicole Peinelt Marek Rei Maria Liakata 50 2 0 23 Oct 2020
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios Michael A. Hedderich Lukas Lange Heike Adel Jannik Strötgen Dietrich Klakow 347 301 0 23 Oct 2020
EFSG: Evolutionary Fooling Sentences Generator Marco Di Giovanni Marco Brambilla AAML 61 3 0 12 Oct 2020
From Hero to Zéroe: A Benchmark of Low-Level Adversarial Attacks Steffen Eger Yannik Benz AAML 89 45 0 12 Oct 2020
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective Wei Ping Shuohang Wang Yu Cheng Zhe Gan R. Jia Yue Liu Jingjing Liu AAML 215 117 0 05 Oct 2020
Learning to Attack: Towards Textual Adversarial Attacking in Real-world Situations Yuan Zang Bairu Hou Fanchao Qi Zhiyuan Liu Xiaojun Meng Maosong Sun 60 11 0 19 Sep 2020
On Robustness and Bias Analysis of BERT-based Relation Extraction Luoqiu Li Xiang Chen Hongbin Ye Zhen Bi Shumin Deng Ningyu Zhang Huajun Chen 81 18 0 14 Sep 2020
TextDecepter: Hard Label Black Box Attack on Text Classifiers Sachin Saxena AAML 24 5 0 16 Aug 2020
FireBERT: Hardening BERT-based classifiers against adversarial attack Gunnar Mein Kevin Hartman Andrew Morris SILM AAML 162 0 0 10 Aug 2020
A Survey on Text Classification: From Shallow to Deep Learning Qian Li Hao Peng Jianxin Li Congyin Xia Renyu Yang Lichao Sun Philip S. Yu Lifang He VLM 155 358 0 02 Aug 2020
What's in a Name? Are BERT Named Entity Representations just as Good for any other Name? S. Balasubramanian Naman Jain G. Jindal Abhijeet Awasthi Sunita Sarawagi OOD 87 26 0 14 Jul 2020
Blacklight: Scalable Defense for Neural Networks against Query-Based Black-Box Attacks Huiying Li Shawn Shan Emily Wenger Jiayun Zhang Haitao Zheng Ben Y. Zhao AAML 85 45 0 24 Jun 2020
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks Francesco Croce Maksym Andriushchenko Naman D. Singh Nicolas Flammarion Matthias Hein 105 101 0 23 Jun 2020
Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers I. Fursov A. Zaytsev Nikita Klyuchnikov A. Kravchenko Evgeny Burnaev AAML SILM 43 5 0 19 Jun 2020
Comparing BERT against traditional machine learning text classification Santiago González-Carvajal E.C. Garrido-Merchán VLM 73 237 0 26 May 2020
On Intrinsic Dataset Properties for Adversarial Machine Learning J. Z. Pan Nicholas Zufelt AAML 35 1 0 19 May 2020
Reliability and Robustness analysis of Machine Learning based Phishing URL Detectors Bushra Sabir Muhammad Ali Babar R. Gaire A. Abuadbba AAML 86 10 0 18 May 2020
It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations Samson Tan Shafiq Joty Min-Yen Kan R. Socher 225 105 0 09 May 2020
DQI: Measuring Data Quality in NLP Swaroop Mishra Anjana Arunkumar Bhavdeep Singh Sachdeva Chris Bryan Chitta Baral 133 32 0 02 May 2020