“Do Anything Now”: Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models
Authors: Xinyue Shen, Zeyuan Chen, Michael Backes, Yun Shen, Yang Zhang | Published: 2023-08-07 | Updated: 2024-05-15
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Mondrian: Prompt Abstraction Attack Against Large Language Models for Cheaper API Pricing
Authors: Wai Man Si, Michael Backes, Yang Zhang | Published: 2023-08-07
PromptCARE: Prompt Copyright Protection by Watermark Injection and Verification
Authors: Hongwei Yao, Jian Lou, Kui Ren, Zhan Qin | Published: 2023-08-05 | Updated: 2023-11-28
Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection
Authors: Jun Yan, Vikas Yadav, Shiyang Li, Lichang Chen, Zheng Tang, Hai Wang, Vijay Srinivasan, Xiang Ren, Hongxia Jin | Published: 2023-07-31 | Updated: 2024-04-03
Universal and Transferable Adversarial Attacks on Aligned Language Models
Authors: Andy Zou, Zifan Wang, Nicholas Carlini, Milad Nasr, J. Zico Kolter, Matt Fredrikson | Published: 2023-07-27 | Updated: 2023-12-20
Backdoor Attacks for In-Context Learning with Language Models
Authors: Nikhil Kandpal, Matthew Jagielski, Florian Tramèr, Nicholas Carlini | Published: 2023-07-27
Unveiling Security, Privacy, and Ethical Concerns of ChatGPT
Authors: Xiaodong Wu, Ran Duan, Jianbing Ni | Published: 2023-07-26
Getting pwn’d by AI: Penetration Testing with Large Language Models
Authors: Andreas Happe, Jürgen Cito | Published: 2023-07-24 | Updated: 2023-08-17
The Looming Threat of Fake and LLM-generated LinkedIn Profiles: Challenges and Opportunities for Detection and Prevention
Authors: Navid Ayoobi, Sadat Shahriar, Arjun Mukherjee | Published: 2023-07-21
A LLM Assisted Exploitation of AI-Guardian
Authors: Nicholas Carlini | Published: 2023-07-20