TextBugger: Generating Adversarial Text Against Real-world Applications

13 December 2018

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

20 / 70 papers shown

Title
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare Muchao Ye Junyu Luo Guanjie Zheng Cao Xiao Ting Wang Fenglong Ma AAML 16 3 0 11 Dec 2021
Generating Natural Language Adversarial Examples through An Improved Beam Search Algorithm Tengfei Zhao Zhaocheng Ge Han Hu Di Shi AAML 19 3 0 15 Oct 2021
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer Fanchao Qi Yangyi Chen Xurui Zhang Mukai Li Zhiyuan Liu Maosong Sun AAML SILM 77 175 0 14 Oct 2021
PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models Bing He M. Ahamad Srijan Kumar SILM AAML 87 26 0 14 Sep 2021
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models Kun Zhou Wayne Xin Zhao Sirui Wang Fuzheng Zhang Wei Yu Wu Ji-Rong Wen AAML 11 7 0 13 Sep 2021
TREATED:Towards Universal Defense against Textual Adversarial Attacks Bin Zhu Zhaoquan Gu Le Wang Zhihong Tian AAML 20 8 0 13 Sep 2021
Gradient-based Adversarial Attacks against Text Transformers Chuan Guo Alexandre Sablayrolles Hervé Jégou Douwe Kiela SILM 98 227 0 15 Apr 2021
BERT: A Review of Applications in Natural Language Processing and Understanding M. V. Koroteev VLM 17 194 0 22 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
A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D Models Mohammed Hassanin Nour Moustafa M. Tahtali AAML 14 2 0 08 Dec 2020
GreedyFool: Multi-Factor Imperceptibility and Its Application to Designing a Black-box Adversarial Attack Hui Liu Bo Zhao Minzhi Ji Peng Liu AAML 14 6 0 14 Oct 2020
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective Boxin Wang Shuohang Wang Yu Cheng Zhe Gan R. Jia Bo-wen Li Jingjing Liu AAML 36 113 0 05 Oct 2020
Train No Evil: Selective Masking for Task-Guided Pre-Training Yuxian Gu Zhengyan Zhang Xiaozhi Wang Zhiyuan Liu Maosong Sun 14 59 0 21 Apr 2020
Weight Poisoning Attacks on Pre-trained Models Keita Kurita Paul Michel Graham Neubig AAML SILM 12 431 0 14 Apr 2020
Towards Evaluating the Robustness of Chinese BERT Classifiers Boxin Wang Boyuan Pan Xin Li Bo-wen Li AAML 18 8 0 07 Apr 2020
Structure-Invariant Testing for Machine Translation Pinjia He Clara Meister Z. Su 19 104 0 19 Jul 2019
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 243 914 0 21 Apr 2018
Learning Robust Representations of Text Yitong Li Trevor Cohn Timothy Baldwin OOD 147 15 0 20 Sep 2016
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 250 13,347 0 25 Aug 2014