Measuring re-identification risk using a synthetic estimator to enable data sharing.
Yangdi JiangLucy MosqueraBei JiangLinglong KongKhaled El EmamPublished in: PloS one (2022)
The average of two copula estimators consistently provides the most accurate re-identification risk estimate and can serve as a good basis for managing privacy risks when data are de-identified and shared.