Link: http://arxiv.org/abs/2412.06181v1
PDF Link: http://arxiv.org/pdf/2412.06181v1
Summary: The increasing integration of Large Language Models (LLMs) into societynecessitates robust defenses against vulnerabilities from jailbreaking andadversarial prompts.
This project proposes a recursive framework for enhancingthe resistance of LLMs to manipulation through the use of prompt simplificationtechniques.
By increasing the transparency of complex and confusing adversarialprompts, the proposed method enables more reliable detection and prevention ofmalicious inputs.
Our findings attempt to address a critical problem in AIsafety and security, providing a foundation for the development of systems ableto distinguish harmless inputs from prompts containing malicious intent.
AsLLMs continue to be used in diverse applications, the importance of suchsafeguards will only grow.
Published on arXiv on: 2024-12-09T03:34:49Z