Auditing Patient Privacy in Medical Generative Models: Scalable Memorization Detection with DeepSSIM++

While deep generative models offer new opportunities for medical image synthesis and data sharing, their ability to memorize and reproduce training samples raises serious concerns about patient confidentiality. Detecting such memorization at scale remains challenging: traditional pixel-based metrics