Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation

10 October 2023

Papers citing "Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation"

7 / 57 papers shown

Title
How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their Vulnerabilities Lingbo Mo Boshi Wang Muhao Chen Huan Sun 29 27 0 15 Nov 2023
FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts Yichen Gong Delong Ran Jinyuan Liu Conglei Wang Tianshuo Cong Anyu Wang Sisi Duan Xiaoyun Wang MLLM 129 120 0 09 Nov 2023
GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher Youliang Yuan Wenxiang Jiao Wenxuan Wang Jen-tse Huang Pinjia He Shuming Shi Zhaopeng Tu SILM 76 234 0 12 Aug 2023
Improving alignment of dialogue agents via targeted human judgements Amelia Glaese Nat McAleese Maja Trkebacz John Aslanides Vlad Firoiu ... John F. J. Mellor Demis Hassabis Koray Kavukcuoglu Lisa Anne Hendricks G. Irving ALM AAML 227 506 0 28 Sep 2022
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned Deep Ganguli Liane Lovitt John Kernion Amanda Askell Yuntao Bai ... Nicholas Joseph Sam McCandlish C. Olah Jared Kaplan Jack Clark 231 446 0 23 Aug 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 339 12,003 0 04 Mar 2022
Gradient-based Adversarial Attacks against Text Transformers Chuan Guo Alexandre Sablayrolles Hervé Jégou Douwe Kiela SILM 106 227 0 15 Apr 2021