Neighborhood Watch: Privacy Risks in Seeded Local Combination Synthetic Data
This paper investigates the privacy risks associated with local combination approaches for generating synthetic data in which synthetic profiles are built by combining real neighbouring profiles, and focuses on three methods from this family, namely SMOTE, Simulant and Avatar.