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Generating Valid and Natural Adversarial Examples with Large Language
  Models

Generating Valid and Natural Adversarial Examples with Large Language Models

20 November 2023
Zimu Wang
Wei Wang
Qi Chen
Qiufeng Wang
Anh Nguyen
    AAML
ArXivPDFHTML

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

5 / 5 papers shown
Title
Advancing NLP Security by Leveraging LLMs as Adversarial Engines
Advancing NLP Security by Leveraging LLMs as Adversarial Engines
Sudarshan Srinivasan
Maria Mahbub
Amir Sadovnik
AAML
24
0
0
23 Oct 2024
Guardians of Discourse: Evaluating LLMs on Multilingual Offensive
  Language Detection
Guardians of Discourse: Evaluating LLMs on Multilingual Offensive Language Detection
Jianfei He
Lilin Wang
Jiaying Wang
Zhenyu Liu
Hongbin Na
Z. Wang
Wei Wang
Qi Chen
25
2
0
21 Oct 2024
Are Synonym Substitution Attacks Really Synonym Substitution Attacks?
Are Synonym Substitution Attacks Really Synonym Substitution Attacks?
Cheng-Han Chiang
Hunghuei Lee
AAML
33
5
0
06 Oct 2022
GLM-130B: An Open Bilingual Pre-trained Model
GLM-130B: An Open Bilingual Pre-trained Model
Aohan Zeng
Xiao Liu
Zhengxiao Du
Zihan Wang
Hanyu Lai
...
Jidong Zhai
Wenguang Chen
Peng-Zhen Zhang
Yuxiao Dong
Jie Tang
BDL
LRM
240
1,070
0
05 Oct 2022
Adversarial Example Generation with Syntactically Controlled Paraphrase
  Networks
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
Mohit Iyyer
John Wieting
Kevin Gimpel
Luke Zettlemoyer
AAML
GAN
178
708
0
17 Apr 2018
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