BAE: BERT-based Adversarial Examples for Text Classification

4 April 2020

Papers citing "BAE: BERT-based Adversarial Examples for Text Classification"

31 / 81 papers shown

Title
Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation Hanjie Chen Yangfeng Ji OOD AAML VLM 22 21 0 23 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 17 4 0 19 Mar 2022
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness Tejas Gokhale Swaroop Mishra Man Luo Bhavdeep Singh Sachdeva Chitta Baral 42 29 0 15 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 12 38 0 03 Mar 2022
White-Box Attacks on Hate-speech BERT Classifiers in German with Explicit and Implicit Character Level Defense Shahrukh Khan Mahnoor Shahid Navdeeppal Singh AAML 23 2 0 11 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 19 9 0 21 Jan 2022
Measure and Improve Robustness in NLP Models: A Survey Xuezhi Wang Haohan Wang Diyi Yang 139 130 0 15 Dec 2021
Towards Interpretability of Speech Pause in Dementia Detection using Adversarial Learning Youxiang Zhu Bang Tran Xiaohui Liang J. Batsis R. Roth AAML 8 6 0 14 Nov 2021
NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language Evaluation David Alfonso-Hermelo Ahmad Rashid Abbas Ghaddar Huawei Noah’s Mehdi Rezagholizadeh 29 2 0 09 Nov 2021
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models Boxin Wang Chejian Xu Shuohang Wang Zhe Gan Yu Cheng Jianfeng Gao Ahmed Hassan Awadallah B. Li VLM ELM AAML 11 214 0 04 Nov 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 29 78 0 06 Oct 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 30 16 0 20 Sep 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 183 13 0 15 Sep 2021
A Strong Baseline for Query Efficient Attacks in a Black Box Setting Rishabh Maheshwary Saket Maheshwary Vikram Pudi AAML 14 30 0 10 Sep 2021
AEDA: An Easier Data Augmentation Technique for Text Classification Akbar Karimi L. Rossi Andrea Prati 13 151 0 30 Aug 2021
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding Dong Wang Ning Ding Pijian Li Haitao Zheng AAML 29 115 0 01 Jul 2021
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP Jiaao Chen Derek Tam Colin Raffel Mohit Bansal Diyi Yang 26 172 0 14 Jun 2021
Reliability Testing for Natural Language Processing Systems Samson Tan Shafiq R. Joty K. Baxter Araz Taeihagh G. Bennett Min-Yen Kan 13 38 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 50 2 0 20 Apr 2021
Gradient-based Adversarial Attacks against Text Transformers Chuan Guo Alexandre Sablayrolles Hervé Jégou Douwe Kiela SILM 98 227 0 15 Apr 2021
On the Adversarial Robustness of Vision Transformers Rulin Shao Zhouxing Shi Jinfeng Yi Pin-Yu Chen Cho-Jui Hsieh ViT 25 137 0 29 Mar 2021
Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots Samson Tan Shafiq R. Joty AAML 21 35 0 17 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 14 76 0 07 Mar 2021
Generating Natural Language Attacks in a Hard Label Black Box Setting Rishabh Maheshwary Saket Maheshwary Vikram Pudi AAML 14 103 0 29 Dec 2020
A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger's Adversarial Attacks Thai Le Noseong Park Dongwon Lee 8 23 0 20 Nov 2020
Can Adversarial Weight Perturbations Inject Neural Backdoors? Siddhant Garg Adarsh Kumar Vibhor Goel Yingyu Liang AAML 34 86 0 04 Aug 2020
TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP John X. Morris Eli Lifland Jin Yong Yoo J. E. Grigsby Di Jin Yanjun Qi SILM 20 69 0 29 Apr 2020
Semantic Robustness of Models of Source Code Goutham Ramakrishnan Jordan Henkel Zi Wang Aws Albarghouthi S. Jha Thomas W. Reps SILM AAML 35 97 0 07 Feb 2020
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 245 914 0 21 Apr 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 263 5,833 0 08 Jul 2016
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 250 13,364 0 25 Aug 2014