Handbook of Sharing Confidential Data:
Differential Privacy, Secure Multiparty Computation, and Synthetic Data
English | 2025 | ISBN: 1032028033 | 342 Pages | PDF (True) | 6 MB
Statistical agencies, research organizations, companies, and other data stewards that seek to share data with the public face a challenging dilemma. They need to protect the privacy and confidentiality of data subjects and their attributes while providing data products that are useful for their intended purposes. In an age when information on data subjects is available from a wide range of data sources, as are the computational resources to obtain that information, this challenge is increasingly difficult. The Handbook of Sharing Confidential Data helps data stewards understand how tools from the data confidentiality literature―specifically, synthetic data, formal privacy, and secure computation―can be used to manage trade-offs in disclosure risk and data usefulness.
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