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"

46 / 196 papers shown

Title
TREATED:Towards Universal Defense against Textual Adversarial Attacks Bin Zhu Zhaoquan Gu Le Wang Zhihong Tian AAML 36 8 0 13 Sep 2021
Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution Zongyi Li Jianhan Xu Jiehang Zeng Linyang Li Xiaoqing Zheng Qi Zhang Kai-Wei Chang Cho-Jui Hsieh AAML 8 74 0 29 Aug 2021
Linking Common Vulnerabilities and Exposures to the MITRE ATT&CK Framework: A Self-Distillation Approach Benjamin Ampel Sagar Samtani Steven Ullman Hsinchun Chen 25 35 0 03 Aug 2021
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding Dong Wang Ning Ding Pijian Li Haitao Zheng AAML 39 115 0 01 Jul 2021
Software-Based Dialogue Systems: Survey, Taxonomy and Challenges Quim Motger Xavier Franch Jordi Marco 29 40 0 21 Jun 2021
Pre-Trained Models: Past, Present and Future Xu Han Zhengyan Zhang Ning Ding Yuxian Gu Xiao Liu ... Jie Tang Ji-Rong Wen Jinhui Yuan Wayne Xin Zhao Jun Zhu AIFin MQ AI4MH 58 815 0 14 Jun 2021
Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution Fanchao Qi Yuan Yao Sophia Xu Zhiyuan Liu Maosong Sun SILM 24 126 0 11 Jun 2021
Synthesizing Adversarial Negative Responses for Robust Response Ranking and Evaluation Prakhar Gupta Yulia Tsvetkov Jeffrey P. Bigham 42 22 0 10 Jun 2021
How Robust are Model Rankings: A Leaderboard Customization Approach for Equitable Evaluation Swaroop Mishra Anjana Arunkumar 34 24 0 10 Jun 2021
Understanding Neural Code Intelligence Through Program Simplification Md Rafiqul Islam Rabin Vincent J. Hellendoorn Mohammad Amin Alipour AAML 49 58 0 07 Jun 2021
Contrastive Fine-tuning Improves Robustness for Neural Rankers Xiaofei Ma Cicero Nogueira dos Santos Andrew O. Arnold 18 20 0 27 May 2021
Data Expansion using Back Translation and Paraphrasing for Hate Speech Detection D. Beddiar Md Saroar Jahan Mourad Oussalah 27 83 0 25 May 2021
Reliability Testing for Natural Language Processing Systems Samson Tan Chenyu You K. Baxter Araz Taeihagh G. Bennett Min-Yen Kan 15 38 0 06 May 2021
A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking Zhenbang Li Yaya Shi Jin Gao Shaoru Wang Bing Li Pengpeng Liang Weiming Hu AAML 39 26 0 06 May 2021
Robustness Tests of NLP Machine Learning Models: Search and Semantically Replace Rahul Singh Karan Jindal Yufei Yu Hanyu Yang Tarun Joshi Matthew A. Campbell Wayne B. Shoumaker 58 2 0 20 Apr 2021
AMMU : A Survey of Transformer-based Biomedical Pretrained Language Models Katikapalli Subramanyam Kalyan A. Rajasekharan S. Sangeetha LM&MA MedIm 26 164 0 16 Apr 2021
Gradient-based Adversarial Attacks against Text Transformers Chuan Guo Alexandre Sablayrolles Hervé Jégou Douwe Kiela SILM 106 227 0 15 Apr 2021
Disentangled Contrastive Learning for Learning Robust Textual Representations Xiang Chen Xin Xie Zhen Bi Hongbin Ye Shumin Deng Ningyu Zhang Huajun Chen 33 5 0 11 Apr 2021
On the Adversarial Robustness of Vision Transformers Rulin Shao Zhouxing Shi Jinfeng Yi Pin-Yu Chen Cho-Jui Hsieh ViT 33 137 0 29 Mar 2021
BERT: A Review of Applications in Natural Language Processing and Understanding M. V. Koroteev VLM 25 196 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 16 53 0 22 Mar 2021
Model Extraction and Adversarial Transferability, Your BERT is Vulnerable! Xuanli He Lingjuan Lyu Qiongkai Xu Lichao Sun MIACV SILM 33 90 0 18 Mar 2021
Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots Samson Tan Chenyu You AAML 29 35 0 17 Mar 2021
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges Yoshitomo Matsubara Marco Levorato Francesco Restuccia 33 199 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 25 77 0 07 Mar 2021
A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D Models Mohammed Hassanin Nour Moustafa M. Tahtali AAML 22 2 0 08 Dec 2020
CharBERT: Character-aware Pre-trained Language Model Wentao Ma Yiming Cui Chenglei Si Ting Liu Shijin Wang Guoping Hu 31 104 0 03 Nov 2020
GiBERT: Introducing Linguistic Knowledge into BERT through a Lightweight Gated Injection Method Nicole Peinelt Marek Rei Maria Liakata 30 2 0 23 Oct 2020
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective Wei Ping Shuohang Wang Yu Cheng Zhe Gan R. Jia Bo-wen Li Jingjing Liu AAML 46 113 0 05 Oct 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 32 18 0 14 Sep 2020
FireBERT: Hardening BERT-based classifiers against adversarial attack Gunnar Mein Kevin Hartman Andrew Morris SILM AAML 16 0 0 10 Aug 2020
Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers I. Fursov A. Zaytsev Nikita Klyuchnikov A. Kravchenko E. Burnaev AAML SILM 29 5 0 19 Jun 2020
Comparing BERT against traditional machine learning text classification Santiago González-Carvajal E.C. Garrido-Merchán VLM 27 229 0 26 May 2020
It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations Samson Tan Chenyu You Min-Yen Kan R. Socher 166 103 0 09 May 2020
DQI: Measuring Data Quality in NLP Swaroop Mishra Anjana Arunkumar Bhavdeep Singh Sachdeva Chris Bryan Chitta Baral 36 30 0 02 May 2020
Reevaluating Adversarial Examples in Natural Language John X. Morris Eli Lifland Jack Lanchantin Yangfeng Ji Yanjun Qi SILM AAML 20 111 0 25 Apr 2020
Adversarial Training for Large Neural Language Models Xiaodong Liu Hao Cheng Pengcheng He Weizhu Chen Yu-Chiang Frank Wang Hoifung Poon Jianfeng Gao AAML 34 183 0 20 Apr 2020
Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples Maximilian Mozes Pontus Stenetorp Bennett Kleinberg Lewis D. Griffin AAML 30 99 0 13 Apr 2020
BAE: BERT-based Adversarial Examples for Text Classification Siddhant Garg Goutham Ramakrishnan AAML SILM 39 542 0 04 Apr 2020
Pre-trained Models for Natural Language Processing: A Survey Xipeng Qiu Tianxiang Sun Yige Xu Yunfan Shao Ning Dai Xuanjing Huang LM&MA VLM 243 1,452 0 18 Mar 2020
Stress Test Evaluation of Transformer-based Models in Natural Language Understanding Tasks Carlos Aspillaga Andrés Carvallo Vladimir Araujo ELM 44 31 0 14 Feb 2020
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks Tianyu Pang Kun Xu Jun Zhu AAML 28 103 0 25 Sep 2019
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 258 915 0 21 Apr 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 296 3,112 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 293 5,842 0 08 Jul 2016
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 267 13,368 0 25 Aug 2014