An LLM can Fool Itself: A Prompt-Based Adversarial Attack
Authors: Xilie Xu, Keyi Kong, Ning Liu, Lizhen Cui, Di Wang, Jingfeng Zhang, Mohan Kankanhalli | Published: 2023-10-20
Prompt Injection
Privacy Preserving Large Language Models: ChatGPT Case Study Based Vision and Framework
Authors: Imdad Ullah, Najm Hassan, Sukhpal Singh Gill, Basem Suleiman, Tariq Ahamed Ahanger, Zawar Shah, Junaid Qadir, Salil S. Kanhere | Published: 2023-10-19
Attack Prompt Generation for Red Teaming and Defending Large Language Models
Authors: Boyi Deng, Wenjie Wang, Fuli Feng, Yang Deng, Qifan Wang, Xiangnan He | Published: 2023-10-19
Large Language Models for Code Analysis: Do LLMs Really Do Their Job?
Authors: Chongzhou Fang, Ning Miao, Shaurya Srivastav, Jialin Liu, Ruoyu Zhang, Ruijie Fang, Asmita, Ryan Tsang, Najmeh Nazari, Han Wang, Houman Homayoun | Published: 2023-10-18 | Updated: 2024-03-05
Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks
Authors: Erfan Shayegani, Md Abdullah Al Mamun, Yu Fu, Pedram Zaree, Yue Dong, Nael Abu-Ghazaleh | Published: 2023-10-16
Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation
Authors: Yangsibo Huang, Samyak Gupta, Mengzhou Xia, Kai Li, Danqi Chen | Published: 2023-10-10
LLMs Killed the Script Kiddie: How Agents Supported by Large Language Models Change the Landscape of Network Threat Testing
Authors: Stephen Moskal, Sam Laney, Erik Hemberg, Una-May O'Reilly | Published: 2023-10-10
A Semantic Invariant Robust Watermark for Large Language Models
Authors: Aiwei Liu, Leyi Pan, Xuming Hu, Shiao Meng, Lijie Wen | Published: 2023-10-10 | Updated: 2024-05-19
SCAR: Power Side-Channel Analysis at RTL-Level
Authors: Amisha Srivastava, Sanjay Das, Navnil Choudhury, Rafail Psiakis, Pedro Henrique Silva, Debjit Pal, Kanad Basu | Published: 2023-10-10
LLM for SoC Security: A Paradigm Shift
Authors: Dipayan Saha, Shams Tarek, Katayoon Yahyaei, Sujan Kumar Saha, Jingbo Zhou, Mark Tehranipoor, Farimah Farahmandi | Published: 2023-10-09