Contextualized Perturbation for Textual Adversarial Attack

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Contextualized Perturbation for Textual Adversarial Attack

16 September 2020

Hao Peng

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Papers citing "Contextualized Perturbation for Textual Adversarial Attack"

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Title
Towards Improving Adversarial Training of NLP Models Jin Yong Yoo Yanjun Qi AAML 198 127 0 01 Sep 2021
FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning Jing Zhou Yanan Zheng Jie Tang Jian Li Zhilin Yang VLM 89 80 0 13 Aug 2021
Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing Sanchit Sinha Hanjie Chen Arshdeep Sekhon Yangfeng Ji Yanjun Qi AAML FAtt 79 42 0 11 Aug 2021
Gradient-based Adversarial Attacks against Text Transformers Chuan Guo Alexandre Sablayrolles Hervé Jégou Douwe Kiela SILM 160 248 0 15 Apr 2021
Consistency Training with Virtual Adversarial Discrete Perturbation Jungsoo Park Gyuwan Kim Jaewoo Kang 76 15 0 15 Apr 2021
Achieving Model Robustness through Discrete Adversarial Training Maor Ivgi Jonathan Berant AAML 71 28 0 11 Apr 2021
Token-Modification Adversarial Attacks for Natural Language Processing: A Survey Tom Roth Yansong Gao A. Abuadbba Surya Nepal Wei Liu AAML 106 12 0 01 Mar 2021
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models Tongshuang Wu Marco Tulio Ribeiro Jeffrey Heer Daniel S. Weld 119 250 0 01 Jan 2021
Improving Text Generation with Student-Forcing Optimal Transport Guoyin Wang Chunyuan Li Jianqiao Li Hao Fu Yuh-Chen Lin ... Ruiyi Zhang Wenlin Wang Dinghan Shen Qian Yang Lawrence Carin OT 78 18 0 12 Oct 2020
BAE: BERT-based Adversarial Examples for Text Classification Siddhant Garg Goutham Ramakrishnan AAML SILM 213 557 0 04 Apr 2020
Generating Natural Adversarial Examples Zhengli Zhao Dheeru Dua Sameer Singh GAN AAML 194 601 0 31 Oct 2017