Alignment is not sufficient to prevent large language models from generating harmful information: A psychoanalytic perspective

14 November 2023

Papers citing "Alignment is not sufficient to prevent large language models from generating harmful information: A psychoanalytic perspective"

6 / 6 papers shown

Title
Bypassing the Safety Training of Open-Source LLMs with Priming Attacks Jason Vega Isha Chaudhary Changming Xu Gagandeep Singh AAML 14 18 0 19 Dec 2023
GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts Jiahao Yu Xingwei Lin Zheng Yu Xinyu Xing SILM 110 300 0 19 Sep 2023
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 218 441 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 303 11,881 0 04 Mar 2022
Gradient-based Adversarial Attacks against Text Transformers Chuan Guo Alexandre Sablayrolles Hervé Jégou Douwe Kiela SILM 98 227 0 15 Apr 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 245 1,977 0 31 Dec 2020