Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Handbook of Sharing Confidential Data: Differential Privacy, Secure Multiparty Computation, and Synthetic Data

Handbook of Sharing Confidential Data: Differential Privacy, Secure Multiparty Computation, and Synthetic Data

Drechsler, Jörg
Kifer, Daniel
Reiter, Jerome

Hardcover

Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

Business GeneralProbability & StatisticsComputer Security

ISBN10: 1032028033
ISBN13: 9781032028033
Publisher: CRC Press
Published: Oct 9 2024
Pages: 333
Weight: 1.78
Height: 0.81 Width: 7.00 Depth: 10.00
Language: English

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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