Medical LLMs are highly vulnerable to black-box jailbreaking, and adversarial continual fine-tuning greatly reduces measured jailbreak effectiveness.
A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models
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Towards Safe AI Clinicians: A Comprehensive Study on Large Language Model Jailbreaking in Healthcare
Medical LLMs are highly vulnerable to black-box jailbreaking, and adversarial continual fine-tuning greatly reduces measured jailbreak effectiveness.