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| 001 | 9781003185284 | ||
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| 005 | 20251030122229.0 | ||
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| 008 | 240829s2024 xx of 000 0 eng d | ||
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_aOCoLC-P _beng _cOCoLC-P |
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_a9781040118702 _q(electronic bk.) |
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_a9781003185284 _q(electronic bk.) |
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| 020 | _z1032028033 | ||
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| 024 | 7 |
_a10.1201/9781003185284 _2doi |
|
| 035 | _a(OCoLC)1453337524 | ||
| 035 | _a(OCoLC-P)1453337524 | ||
| 050 | 4 | _aQA76.9.D314 | |
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_aPBT _2bicssc |
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_aHANDBOOK OF SHARING CONFIDENTIAL DATA _h[electronic resource] : _bdifferential privacy, secure multiparty computation, and synthetic data / _cedited by Jörg Drechsler, Daniel Kifer, Jerome Reiter and Aleksandra Slavković. |
| 260 |
_a[S.l.] : _bCHAPMAN & HALL CRC, _c2024. |
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| 300 | _a1 online resource | ||
| 520 | _aStatistical 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. | ||
| 588 | _aOCLC-licensed vendor bibliographic record. | ||
| 650 | 0 |
_aDatabase security _xStatistical methods. _992926 |
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| 650 | 0 |
_aDisclosure of information _xSecurity methods. _992927 |
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| 650 | 0 |
_aData protection _xStatistical methods. _992928 |
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| 650 | 0 |
_aConfidential communications _xMathematics. _992929 |
|
| 650 | 0 |
_aElectronic records _xAccess control. _992930 |
|
| 650 | 7 |
_aBUSINESS & ECONOMICS / Statistics _2bisacsh _964448 |
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| 650 | 7 |
_aMATHEMATICS / Probability & Statistics / General _2bisacsh _963965 |
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| 700 | 1 |
_aDrechsler, Jörg. _1https://id.oclc.org/worldcat/entity/E39PCjtcpMGYtQw7jqhHbcgxjC _992931 |
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| 856 | 4 | 0 |
_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003185284 |
| 856 | 4 | 2 |
_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
| 942 | _cE-Books | ||
| 999 |
_c67426 _d67426 |
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