Clinically Grounded Privacy Evaluation of Medical LMs
The episode discusses a paper titled "Clinically Grounded Privacy Evaluation of Medical LMs," which examines how vulnerable large language models trained on clinical notes are to data leaks. Hosts discuss both verbatim memorization and subtle semantic leakage, concluding that the authors provide a framework for building trustworthy AI through standardized, measurable privacy improvements.