Self-Guard: Empower the LLM to Safeguard Itself

Self-Guard: Empower the LLM to Safeguard Itself

24 October 2023

Zezhong Wang

Papers citing "Self-Guard: Empower the LLM to Safeguard Itself"

9 / 9 papers shown

Title
LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Francisco Aguilera-Martínez Fernando Berzal PILM 45 0 0 02 May 2025
A generative approach to LLM harmfulness detection with special red flag tokens Sophie Xhonneux David Dobre Mehrnaz Mohfakhami Leo Schwinn Gauthier Gidel 45 1 0 22 Feb 2025
GPT in Sheep's Clothing: The Risk of Customized GPTs Sagiv Antebi Noam Azulay Edan Habler Ben Ganon A. Shabtai Yuval Elovici 17 6 0 17 Jan 2024
AttackEval: How to Evaluate the Effectiveness of Jailbreak Attacking on Large Language Models Dong Shu Mingyu Jin Suiyuan Zhu Beichen Wang Zihao Zhou Chong Zhang Yongfeng Zhang ELM 37 12 0 17 Jan 2024
A Survey of the Evolution of Language Model-Based Dialogue Systems Hongru Wang Lingzhi Wang Yiming Du Liang Chen Jing Zhou Yufei Wang Kam-Fai Wong LRM 49 20 0 28 Nov 2023
GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts Jiahao Yu Xingwei Lin Zheng Yu Xinyu Xing SILM 110 292 0 19 Sep 2023
Aligning Large Language Models through Synthetic Feedback Sungdong Kim Sanghwan Bae Jamin Shin Soyoung Kang Donghyun Kwak Kang Min Yoo Minjoon Seo ALM SyDa 73 46 0 23 May 2023
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 301 11,730 0 04 Mar 2022
Fine-Tuning Language Models from Human Preferences Daniel M. Ziegler Nisan Stiennon Jeff Wu Tom B. Brown Alec Radford Dario Amodei Paul Christiano G. Irving ALM 273 1,561 0 18 Sep 2019