Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12276)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Included in the following conference series:
Conference proceedings info: PSD 2020.
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Table of contents (25 papers)
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Privacy Models
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Protection of Statistical Tables
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Protection of Interactive and Mobility Databases
Other volumes
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Privacy in Statistical Databases
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Privacy in Statistical Databases
Book Subtitle: UNESCO Chair in Data Privacy, International Conference, PSD 2020, Tarragona, Spain, September 23–25, 2020, Proceedings
Editors: Josep Domingo-Ferrer, Krishnamurty Muralidhar
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-57521-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-57520-5Published: 21 August 2020
eBook ISBN: 978-3-030-57521-2Published: 16 September 2020
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 370
Number of Illustrations: 25 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Information Storage and Retrieval, Computers and Society, Systems and Data Security, Artificial Intelligence