Defense of Word-level Adversarial Attacks via Random Substitution Encoding

1 May 2020

Papers citing "Defense of Word-level Adversarial Attacks via Random Substitution Encoding"

6 / 6 papers shown

Title
TextDefense: Adversarial Text Detection based on Word Importance Entropy Lujia Shen Xuhong Zhang S. Ji Yuwen Pu Chunpeng Ge Xing Yang Yanghe Feng AAML 23 8 0 12 Feb 2023
Rethinking Textual Adversarial Defense for Pre-trained Language Models Jiayi Wang Rongzhou Bao Zhuosheng Zhang Hai Zhao AAML SILM 28 11 0 21 Jul 2022
Don't sweat the small stuff, classify the rest: Sample Shielding to protect text classifiers against adversarial attacks Jonathan Rusert P. Srinivasan AAML 19 3 0 03 May 2022
Understanding, Detecting, and Separating Out-of-Distribution Samples and Adversarial Samples in Text Classification Cheng-Han Chiang Hung-yi Lee OODD 28 1 0 09 Apr 2022
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 258 916 0 21 Apr 2018
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 279 13,373 0 25 Aug 2014