PRISM-G: an interpretable privacy scoring method for assessing risk in synthetic human genome data
Alejandro Correa Rojo, Yves Moreau, Gökhan Ertaylan
PRISM-G quantifies privacy risk in synthetic genome data by assessing genetic proximity, familial patterns, and trait-linked exposure, showing vulnerabilities vary across models and marker densities.