TextBugger: Generating Adversarial Text Against Real-world Applications

13 December 2018

Papers citing "TextBugger: Generating Adversarial Text Against Real-world Applications"

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Title
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 28 7 0 01 Apr 2021
BERT: A Review of Applications in Natural Language Processing and Understanding M. V. Koroteev VLM 25 196 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
ReinforceBug: A Framework to Generate Adversarial Textual Examples Bushra Sabir M. Babar R. Gaire SILM AAML 20 3 0 11 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
Token-Modification Adversarial Attacks for Natural Language Processing: A Survey Tom Roth Yansong Gao A. Abuadbba Surya Nepal Wei Liu AAML 43 12 0 01 Mar 2021
Enhancing Model Robustness By Incorporating Adversarial Knowledge Into Semantic Representation Jinfeng Li Tianyu Du Xiangyu Liu Rong Zhang Hui Xue S. Ji AAML 17 9 0 23 Feb 2021
Certified Robustness to Programmable Transformations in LSTMs Yuhao Zhang Aws Albarghouthi Loris Dántoni AAML 25 22 0 15 Feb 2021
RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization Austin P. Wright Omar Shaikh Haekyu Park Will Epperson Muhammed Ahmed Stephane Pinel Duen Horng Chau Diyi Yang 17 21 0 08 Feb 2021
Adv-OLM: Generating Textual Adversaries via OLM Vijit Malik A. Bhat Ashutosh Modi 29 6 0 21 Jan 2021
Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation Fan Yang Ninghao Liu Mengnan Du X. Hu OOD 8 17 0 18 Jan 2021
Adversarial Machine Learning in Text Analysis and Generation I. Alsmadi AAML 24 5 0 14 Jan 2021
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 38 48 0 30 Dec 2020
Generating Natural Language Attacks in a Hard Label Black Box Setting Rishabh Maheshwary Saket Maheshwary Vikram Pudi AAML 30 103 0 29 Dec 2020
A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D Models Mohammed Hassanin Nour Moustafa M. Tahtali AAML 22 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 6 10 0 25 Nov 2020
A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger's Adversarial Attacks Thai Le Noseong Park Dongwon Lee 10 23 0 20 Nov 2020
SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher Thai Le Noseong Park Dongwon Lee AAML 8 20 0 17 Nov 2020
Adversarial Black-Box Attacks On Text Classifiers Using Multi-Objective Genetic Optimization Guided By Deep Networks Alex Mathai Shreya Khare Srikanth G. Tamilselvam Senthil Mani AAML 30 6 0 08 Nov 2020
Leveraging Extracted Model Adversaries for Improved Black Box Attacks Naveen Jafer Nizar Ari Kobren MIACV 4 0 0 30 Oct 2020
GreedyFool: Multi-Factor Imperceptibility and Its Application to Designing a Black-box Adversarial Attack Hui Liu Bo Zhao Minzhi Ji Peng Liu AAML 29 6 0 14 Oct 2020
EFSG: Evolutionary Fooling Sentences Generator Marco Di Giovanni Marco Brambilla AAML 35 2 0 12 Oct 2020
Decamouflage: A Framework to Detect Image-Scaling Attacks on Convolutional Neural Networks Bedeuro Kim A. Abuadbba Yansong Gao Yifeng Zheng Muhammad Ejaz Ahmed Hyoungshick Kim Surya Nepal 12 4 0 08 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
Second-Order NLP Adversarial Examples John X. Morris AAML 17 0 0 05 Oct 2020
A Geometry-Inspired Attack for Generating Natural Language Adversarial Examples Zhao Meng Roger Wattenhofer GAN AAML 32 32 0 03 Oct 2020
Adversarial Attacks Against Deep Learning Systems for ICD-9 Code Assignment Sharan Raja Rudraksh Tuwani AAML 14 3 0 29 Sep 2020
OpenAttack: An Open-source Textual Adversarial Attack Toolkit Guoyang Zeng Fanchao Qi Qianrui Zhou Ting Zhang Zixian Ma Bairu Hou Yuan Zang Zhiyuan Liu Maosong Sun AAML 26 118 0 19 Sep 2020
Contextualized Perturbation for Textual Adversarial Attack Dianqi Li Yizhe Zhang Hao Peng Liqun Chen Chris Brockett Ming-Ting Sun Bill Dolan AAML SILM 12 229 0 16 Sep 2020
Dynamically Computing Adversarial Perturbations for Recurrent Neural Networks Shankar A. Deka D. Stipanović Claire Tomlin AAML 30 7 0 07 Sep 2020
MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models Thai Le Suhang Wang Dongwon Lee 24 59 0 01 Sep 2020
TextDecepter: Hard Label Black Box Attack on Text Classifiers Sachin Saxena AAML 17 5 0 16 Aug 2020
FireBERT: Hardening BERT-based classifiers against adversarial attack Gunnar Mein Kevin Hartman Andrew Morris SILM AAML 16 0 0 10 Aug 2020
Adversarial Training with Fast Gradient Projection Method against Synonym Substitution based Text Attacks Xiaosen Wang Yichen Yang Yihe Deng Kun He OOD AAML 16 3 0 09 Aug 2020
Visual Attack and Defense on Text Shengjun Liu Ningkang Jiang Yuanbin Wu AAML 18 0 0 07 Aug 2020
Trojaning Language Models for Fun and Profit Xinyang Zhang Zheng-Wei Zhang Shouling Ji Ting Wang SILM AAML 17 132 0 01 Aug 2020
Natural Backdoor Attack on Text Data Lichao Sun SILM 16 39 0 29 Jun 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 23 42 0 24 Jun 2020
Adversarial Attacks and Defense on Texts: A Survey A. Huq Mst. Tasnim Pervin AAML 14 21 0 28 May 2020
Reliability and Robustness analysis of Machine Learning based Phishing URL Detectors Bushra Sabir Muhammad Ali Babar R. Gaire A. Abuadbba AAML 35 10 0 18 May 2020
Defense of Word-level Adversarial Attacks via Random Substitution Encoding Zhaoyang Wang Hongtao Wang AAML SILM 6 23 0 01 May 2020
Evaluating Neural Machine Comprehension Model Robustness to Noisy Inputs and Adversarial Attacks Winston Wu Dustin L. Arendt Svitlana Volkova AAML 20 5 0 01 May 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 27 69 0 29 Apr 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
Testing Machine Translation via Referential Transparency Pinjia He Clara Meister Z. Su 13 49 0 22 Apr 2020
Train No Evil: Selective Masking for Task-Guided Pre-Training Yuxian Gu Zhengyan Zhang Xiaozhi Wang Zhiyuan Liu Maosong Sun 32 59 0 21 Apr 2020
Weight Poisoning Attacks on Pre-trained Models Keita Kurita Paul Michel Graham Neubig AAML SILM 37 434 0 14 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
Towards Evaluating the Robustness of Chinese BERT Classifiers Wei Ping Boyuan Pan Xin Li Bo-wen Li AAML 28 8 0 07 Apr 2020