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Privacy in Statistical Databases : UNESCO Chair in Data Privacy, International Conference, PSD 2020, Tarragona, Spain, September 23–25, 2020, Proceedings (Lecture Notes in Computer Science)

By: Josep Domingo-Ferrer (Edited by) , Krishnamurty Muralidhar (Edited by)

Extended Catalogue

Ksh 14,800.00

Format: Paperback or Softback

ISBN-10: 3030575209

ISBN-13: 9783030575205

Collection / Series: Lecture Notes in Computer Science

Collection Type: Publisher collection

Edition statement: 1st ed. 2020

Publisher: Springer Nature Switzerland AG

Imprint: Springer Nature Switzerland AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Aug 21st, 2020

Publication Status: Active

Product extent: 370 Pages

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This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2020, held in Tarragona, Spain, in September 2020 under the sponsorship of the UNESCO Chair in Data Privacy. The 25 revised full papers presented were carefully reviewed and selected from 49 submissions.

This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2020, held in Tarragona, Spain, in September 2020 under the sponsorship of the UNESCO Chair in Data Privacy.
The 25 revised full papers presented were carefully reviewed and selected from 49 submissions. The papers are organized into the following topics: privacy models; microdata protection; protection of statistical tables; protection of interactive and mobility databases; record linkage and alternative methods; synthetic data; data quality; and case studies.
The Chapter "Explaining recurrent machine learning models: integral privacy revisited" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.


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