Coercing LLMs to do and reveal (almost) anything
Authors: Jonas Geiping, Alex Stein, Manli Shu, Khalid Saifullah, Yuxin Wen, Tom Goldstein | Published: 2024-02-21
Prompt Injection
A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models
Authors: Zihao Xu, Yi Liu, Gelei Deng, Yuekang Li, Stjepan Picek | Published: 2024-02-21 | Updated: 2024-05-17
TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification
Authors: Martin Gubri, Dennis Ulmer, Hwaran Lee, Sangdoo Yun, Seong Joon Oh | Published: 2024-02-20 | Updated: 2024-06-06
Prompt Stealing Attacks Against Large Language Models
Authors: Zeyang Sha, Yang Zhang | Published: 2024-02-20
Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models
Authors: Christian Schlarmann, Naman Deep Singh, Francesco Croce, Matthias Hein | Published: 2024-02-19 | Updated: 2024-06-05
An Empirical Evaluation of LLMs for Solving Offensive Security Challenges
Authors: Minghao Shao, Boyuan Chen, Sofija Jancheska, Brendan Dolan-Gavitt, Siddharth Garg, Ramesh Karri, Muhammad Shafique | Published: 2024-02-19
SPML: A DSL for Defending Language Models Against Prompt Attacks
Authors: Reshabh K Sharma, Vinayak Gupta, Dan Grossman | Published: 2024-02-19
Using Hallucinations to Bypass GPT4’s Filter
Authors: Benjamin Lemkin | Published: 2024-02-16 | Updated: 2024-03-11
AbuseGPT: Abuse of Generative AI ChatBots to Create Smishing Campaigns
Authors: Ashfak Md Shibli, Mir Mehedi A. Pritom, Maanak Gupta | Published: 2024-02-15
PAL: Proxy-Guided Black-Box Attack on Large Language Models
Authors: Chawin Sitawarin, Norman Mu, David Wagner, Alexandre Araujo | Published: 2024-02-15