ForgeDAN: An Evolutionary Framework for Jailbreaking Aligned Large Language Models

The article introduces ForgeDAN, a framework designed to bypass safety measures in aligned Large Language Models (LLMs). This research focuses on the vulnerability of LLMs to jailbreaking techniques, which is a significant concern in the development and deployment of these models. The evolutionary approach suggests an adaptive method for finding effective jailbreak prompts. The source being ArXiv indicates this is a pre-print, suggesting the research is in its early stages or awaiting peer review.

• •ForgeDAN is a framework for jailbreaking aligned LLMs.
• •The research addresses the vulnerability of LLMs to jailbreaking.
• •The approach uses an evolutionary algorithm to find effective jailbreak prompts.
• •The source is ArXiv, indicating a pre-print.