Generating Valid and Natural Adversarial Examples with Large Language
Models

Generating Valid and Natural Adversarial Examples with Large Language Models

20 November 2023

Anh Nguyen

Papers citing "Generating Valid and Natural Adversarial Examples with Large Language Models"

8 / 8 papers shown

Title
GLM-130B: An Open Bilingual Pre-trained Model Aohan Zeng Xiao Liu Zhengxiao Du Zihan Wang Hanyu Lai ... Jidong Zhai Wenguang Chen Peng Zhang Yuxiao Dong Jie Tang BDL LRM 344 1,091 0 05 Oct 2022
Towards Improving Adversarial Training of NLP Models Jin Yong Yoo Yanjun Qi AAML 161 125 0 01 Sep 2021
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 158 124 0 19 Sep 2020
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 172 1,077 0 27 Jul 2019
TextBugger: Generating Adversarial Text Against Real-world Applications Jinfeng Li S. Ji Tianyu Du Bo Li Ting Wang SILM AAML 203 738 0 13 Dec 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks Mohit Iyyer John Wieting Kevin Gimpel Luke Zettlemoyer AAML GAN 320 719 0 17 Apr 2018
Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers Ji Gao Jack Lanchantin M. Soffa Yanjun Qi AAML 132 720 0 13 Jan 2018
Generating Natural Adversarial Examples Zhengli Zhao Dheeru Dua Sameer Singh GAN AAML 166 601 0 31 Oct 2017