23 citations · 38 across the 7 of their papers we have counts for
3 papers · 1 filter
HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal
Mantas Mazeika, Long Phan, Xuwang Yin +9
Automated red teaming holds substantial promise for uncovering and mitigating the risks associated with the malicious use of large language models (LLMs), yet the field lacks a sta…
PAL: Proxy-Guided Black-Box Attack on Large Language Models
Chawin Sitawarin, Norman Mu, David Wagner +1
Large Language Models (LLMs) have surged in popularity in recent months, but they have demonstrated concerning capabilities to generate harmful content when manipulated. While tech…
Generative AI Security: Challenges and Countermeasures
Banghua Zhu, Norman Mu, Jiantao Jiao +1
Generative AI's expanding footprint across numerous industries has led to both excitement and increased scrutiny. This paper delves into the unique security challenges posed by Gen…