03636cam a22005177a 4500 9781003185284 FlBoTFG 20251030122229.0 m o d cr |n||||||||| 240829s2024 xx of 000 0 eng d OCoLC-P eng OCoLC-P 9781040118702 (electronic bk.) 1040118704 (electronic bk.) 9781003185284 (electronic bk.) 1003185282 (electronic bk.) 9781040118740 (electronic bk. : EPUB) 1040118747 (electronic bk. : EPUB) 1032028033 9781032028033 10.1201/9781003185284 doi (OCoLC)1453337524 (OCoLC-P)1453337524 QA76.9.D314 BUS 061000 bisacsh MAT 029000 bisacsh PBT bicssc HANDBOOK OF SHARING CONFIDENTIAL DATA [electronic resource] : differential privacy, secure multiparty computation, and synthetic data / edited by Jörg Drechsler, Daniel Kifer, Jerome Reiter and Aleksandra Slavković. [S.l.] : CHAPMAN & HALL CRC, 2024. 1 online resource 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. Key features: Provides overviews of the potential and the limitations of synthetic data, differential privacy, and secure computation Offers an accessible review of methods for implementing differential privacy, both from methodological and practical perspectives Presents perspectives from both computer science and statistical science for addressing data confidentiality and privacy Describes genuine applications of synthetic data, formal privacy, and secure computation to help practitioners implement these approaches The handbook is accessible to both researchers and practitioners who work with confidential data. It requires familiarity with basic concepts from probability and data analysis. OCLC-licensed vendor bibliographic record. Database security Statistical methods. 92926 Disclosure of information Security methods. 92927 Data protection Statistical methods. 92928 Confidential communications Mathematics. 92929 Electronic records Access control. 92930 BUSINESS & ECONOMICS / Statistics bisacsh 64448 MATHEMATICS / Probability & Statistics / General bisacsh 63965 Drechsler, Jörg. https://id.oclc.org/worldcat/entity/E39PCjtcpMGYtQw7jqhHbcgxjC 92931 Taylor & Francis https://www.taylorfrancis.com/books/9781003185284 OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf E-Books 67426 67426