BIBFRAME Work

Title

Handbook of sharing confidential data : differential privacy, secure multiparty computation, and synthetic data

Type

• Text
• Monograph

Contribution

• Drechsler, Jörg (editor)

Subject

• Data protection--Statistical methods (LCSH)
• Electronic records--Access control (LCSH)
• Disclosure of information--Security methods (LCSH)
• Database security--Statistical methods (LCSH)
• Confidential communications--Mathematics (LCSH)

Language

• English

Classification

• LCC: QA76.9.D314 (Assigner: dlc) (Status: used by assigner)
• DDC: 005.8 (Assigner: dlc)

Content

• text

Supplementary content

• bibliography
• index

Summary

"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"-- Provided by publisher.

Authorized Access Point

Handbook of sharing confidential data : differential privacy, secure multiparty computation, and synthetic data

Admin Metadata

• Date: 2026-09-11T20:18:52.286224+00:00
• Agent: cbc
• Status: c
• Derived from: 23635515

Admin Metadata

• Date: 2026-09-11
• Cataloger id: Unknown
• Description level: http://id.loc.gov/ontologies/bibframe-2-6-0/
• Description language: eng
• Description authentication: pcc