2 papers
cs.LG2025
When Privacy Isn't Synthetic: Hidden Data Leakage in Generative AI Models
S. M. Mustaqim, Anantaa Kotal, Paul H. Yi
Generative models are increasingly used to produce privacy-preserving synthetic data as a safe alternative to sharing sensitive training datasets. However, we demonstrate that such…
cs.CV2025
Towards Virtual Clinical Trials of Radiology AI with Conditional Generative Modeling
Benjamin D. Killeen, Bohua Wan, Aditya V. Kulkarni +4
Artificial intelligence (AI) is poised to transform healthcare by enabling personalized and efficient care through data-driven insights. Although radiology is at the forefront of A…