Expert Meeting on Statistical Data Confidentiality

This paper evaluates disclosure risk measures for synthetic data generated by CART-based models, using both a controlled simulated dataset and publicly available data. We find that common disclosure risk measures may fail to detect disclosure risks and, in some cases, misrepresent actual disclosure risks. Additionally, CART-based models, while maintaining high statistical utility, may compromise privacy protection. Our findings highlight challenges in measuring disclosure risk of synthetic data and suggest improvements for more accurate risk assessments.