Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers

13 January 2018

Papers citing "Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers"

50 / 360 papers shown

Title
Mitigating backdoor attacks in LSTM-based Text Classification Systems by Backdoor Keyword Identification Chuanshuai Chen Jiazhu Dai SILM 55 125 0 11 Jul 2020
Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain Ishai Rosenberg A. Shabtai Yuval Elovici Lior Rokach AAML 26 12 0 05 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 23 42 0 24 Jun 2020
Systematic Attack Surface Reduction For Deployed Sentiment Analysis Models Josh Kalin David A. Noever Gerry V. Dozier 6 5 0 19 Jun 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
Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems Yuanjiang Cao Xiaocong Chen Lina Yao Xianzhi Wang W. Zhang AAML 11 43 0 14 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 29 10 0 18 May 2020
NAT: Noise-Aware Training for Robust Neural Sequence Labeling Marcin Namysl Sven Behnke Joachim Kohler NoLa 12 14 0 14 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 15 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
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 28 540 0 04 Apr 2020
Gradient-based adversarial attacks on categorical sequence models via traversing an embedded world I. Fursov Alexey Zaytsev Nikita Klyuchnikov A. Kravchenko Evgeny Burnaev AAML SILM 17 11 0 09 Mar 2020
Search Space of Adversarial Perturbations against Image Filters D. D. Thang Toshihiro Matsui AAML 6 1 0 05 Mar 2020
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond Kaidi Xu Zhouxing Shi Huan Zhang Yihan Wang Kai-Wei Chang Minlie Huang B. Kailkhura X. Lin Cho-Jui Hsieh AAML 19 11 0 28 Feb 2020
Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT Lichao Sun Kazuma Hashimoto Wenpeng Yin Akari Asai Jia Li Philip Yu Caiming Xiong SILM AAML 12 101 0 27 Feb 2020
Robustness Verification for Transformers Zhouxing Shi Huan Zhang Kai-Wei Chang Minlie Huang Cho-Jui Hsieh AAML 24 104 0 16 Feb 2020
Adversarial Robustness for Code Pavol Bielik Martin Vechev AAML 22 89 0 11 Feb 2020
FastWordBug: A Fast Method To Generate Adversarial Text Against NLP Applications Dou Goodman Zhonghou Lv Minghua Wang AAML 14 6 0 31 Jan 2020
Elephant in the Room: An Evaluation Framework for Assessing Adversarial Examples in NLP Ying Xu Xu Zhong Antonio Jimeno Yepes Jey Han Lau AAML 22 10 0 22 Jan 2020
Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning R. Schuster Tal Schuster Yoav Meri Vitaly Shmatikov AAML 6 38 0 14 Jan 2020
Advbox: a toolbox to generate adversarial examples that fool neural networks Dou Goodman Xin Hao Yang Wang Yuesheng Wu Junfeng Xiong Huan Zhang AAML 15 53 0 13 Jan 2020
Exploring and Improving Robustness of Multi Task Deep Neural Networks via Domain Agnostic Defenses Kashyap Coimbatore Murali AAML OOD 11 0 0 11 Jan 2020
To Transfer or Not to Transfer: Misclassification Attacks Against Transfer Learned Text Classifiers Bijeeta Pal Shruti Tople AAML 18 9 0 08 Jan 2020
Towards Robust Toxic Content Classification Keita Kurita A. Belova Antonios Anastasopoulos AAML 8 30 0 14 Dec 2019
Towards Security Threats of Deep Learning Systems: A Survey Yingzhe He Guozhu Meng Kai Chen Xingbo Hu Jinwen He AAML ELM 13 14 0 28 Nov 2019
Smoothed Inference for Adversarially-Trained Models Yaniv Nemcovsky Evgenii Zheltonozhskii Chaim Baskin Brian Chmiel Maxim Fishman A. Bronstein A. Mendelson AAML FedML 16 2 0 17 Nov 2019
SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking Qing Guo Xiaofei Xie Felix Juefei-Xu L. Ma Zhongguo Li Wanli Xue Wei Feng Yang Liu AAML 24 4 0 19 Oct 2019
FENCE: Feasible Evasion Attacks on Neural Networks in Constrained Environments Alesia Chernikova Alina Oprea AAML 19 35 0 23 Sep 2019
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review Han Xu Yao Ma Haochen Liu Debayan Deb Hui Liu Jiliang Tang Anil K. Jain AAML 33 668 0 17 Sep 2019
Generating Black-Box Adversarial Examples for Text Classifiers Using a Deep Reinforced Model Prashanth Vijayaraghavan D. Roy AAML 11 35 0 17 Sep 2019
Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification Yichao Zhou Jyun-Yu Jiang Kai-Wei Chang Wei Wang AAML 11 117 0 06 Sep 2019
On-Device Text Representations Robust To Misspellings via Projections Chinnadhurai Sankar Sujith Ravi Zornitsa Kozareva 13 2 0 14 Aug 2019
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment Di Jin Zhijing Jin Qiufeng Wang Peter Szolovits SILM AAML 12 1,048 0 27 Jul 2019
Transferable Neural Projection Representations Chinnadhurai Sankar Sujith Ravi Zornitsa Kozareva 18 8 0 04 Jun 2019
Generalizable Adversarial Attacks with Latent Variable Perturbation Modelling A. Bose Andre Cianflone William L. Hamilton OOD AAML 14 7 0 26 May 2019
POPQORN: Quantifying Robustness of Recurrent Neural Networks Ching-Yun Ko Zhaoyang Lyu Tsui-Wei Weng Luca Daniel Ngai Wong Dahua Lin AAML 17 75 0 17 May 2019
White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks Yotam Gil Yoav Chai O. Gorodissky Jonathan Berant MLAU AAML 19 44 0 04 Apr 2019
MaskDGA: A Black-box Evasion Technique Against DGA Classifiers and Adversarial Defenses Lior Sidi Asaf Nadler A. Shabtai AAML 23 22 0 24 Feb 2019
Towards a Robust Deep Neural Network in Texts: A Survey Wenqi Wang Benxiao Tang Run Wang Lina Wang Aoshuang Ye AAML 24 39 0 12 Feb 2019
Defense Methods Against Adversarial Examples for Recurrent Neural Networks Ishai Rosenberg A. Shabtai Yuval Elovici Lior Rokach AAML GAN 22 42 0 28 Jan 2019
Universal Rules for Fooling Deep Neural Networks based Text Classification Di Li Danilo Vasconcellos Vargas Kouichi Sakurai AAML 16 11 0 22 Jan 2019
Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey W. Zhang Quan Z. Sheng A. Alhazmi Chenliang Li AAML 24 57 0 21 Jan 2019
Analysis Methods in Neural Language Processing: A Survey Yonatan Belinkov James R. Glass 39 547 0 21 Dec 2018
TextBugger: Generating Adversarial Text Against Real-world Applications Jinfeng Li S. Ji Tianyu Du Bo Li Ting Wang SILM AAML 48 723 0 13 Dec 2018
Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification Qi Lei Lingfei Wu Pin-Yu Chen A. Dimakis Inderjit S. Dhillon Michael Witbrock AAML 15 92 0 01 Dec 2018
Adversarial Gain Peter Henderson Koustuv Sinha Nan Rosemary Ke Joelle Pineau AAML 30 0 0 04 Nov 2018