activity
20242026
most citedConstitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming

7 citations · 12 across the 5 of their papers we have counts for

collaborators
Showing 2024Show all

2 papers · 1 filter

cs.CL2024

Endless Jailbreaks with Bijection Learning

Brian R. Y. Huang, Maximilian Li, Leonard Tang

Despite extensive safety measures, LLMs are vulnerable to adversarial inputs, or jailbreaks, which can elicit unsafe behaviors. In this work, we introduce bijection learning, a pow…

cs.CL2024★ 5 cited

Introducing v0.5 of the AI Safety Benchmark from MLCommons

Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed +97

This paper introduces v0.5 of the AI Safety Benchmark, which has been created by the MLCommons AI Safety Working Group. The AI Safety Benchmark has been designed to assess the safe…