Knowledge editing methods allow facts in Large Language Models to be updated, but this research reveals significant overlooked safety risks.

• Knowledge editing tools are widely available, computationally inexpensive, and difficult to detect
• Malicious actors could exploit these techniques to inject harmful content or bypass safety guardrails
• Current editing methods lack robust security measures against intentional misuse
• Researchers call for developing tamper-resistant models and effective countermeasures

Security Implications: As AI systems become more integrated in critical infrastructure, preventing unauthorized model modifications becomes essential for maintaining trust and security in the AI ecosystem.

Position: Editing Large Language Models Poses Serious Safety Risks