Synthetic data (SD) have garnered attention as a privacy enhancing technology. Unfortunately, there is no standard for quantifying their degree of privacy protection. In this paper, we discuss proposed quantification approaches. This contributes to the development of SD privacy standards; stimulates multi-disciplinary discussion; and helps SD researchers make informed modeling and evaluation decisions.

翻译：合成数据（Synthetic Data, SD）作为隐私增强技术已受到广泛关注。然而，目前尚无衡量其隐私保护程度的标准规范。本文系统梳理了已有量化方法，旨在推动合成数据隐私标准的制定，促进多学科交叉讨论，并帮助合成数据研究人员在建模与评估中做出科学决策。