Framework for Evaluating Medical AI Security: Jailbreaking and Privacy Vulnerabilities

This ArXiv paper proposes a practical framework to evaluate the security of medical AI, focusing on vulnerabilities like jailbreaking and privacy breaches. The focus on reproducibility is crucial for establishing reliable assessments of AI systems in sensitive clinical settings.

• •Focuses on security vulnerabilities in medical AI.
• •Emphasizes reproducible assessment methods.
• •Addresses privacy concerns within clinical settings.