https://github.com/NVIDIA/garak
garak: A Framework for Security Probing Large Language Models
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garak: A Framework for Security Probing Large Language Models
WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models
HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal
Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal
WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models
Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation
Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models?
AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs
GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.