Privacy in Statistical Databases: UNESCO Chair in Data Privacy, International Conference, PSD 2020, Tarragona, Spain, September 23–25, 2020, Proceedings

Media type: E-Book
Title: Privacy in Statistical Databases : UNESCO Chair in Data Privacy, International Conference, PSD 2020, Tarragona, Spain, September 23–25, 2020, Proceedings
Contributor: Domingo-Ferrer, Josep [Editor]; Muralidhar, Krishnamurty [Editor]
Published: Cham: Springer International Publishing, 2020.
Cham: Imprint: Springer, 2020.
Published in: Information Systems and Applications, incl. Internet/Web, and HCI ; 12276
Springer eBook Collection
Issue: 1st ed. 2020.
Extent: 1 Online-Ressource(XI, 370 p. 25 illus.)
Language: English
DOI: 10.1007/978-3-030-57521-2
ISBN: 9783030575212
Identifier:

Keywords: Information storage and retrieval. ; Computer security. ; Data mining. ; Computers and civilization. ; Artificial intelligence. ; Data protection. ; Information storage and retrieval systems.
Origination:
Footnote:
Description: Privacy models -- Microdata protection -- Protection of statistical tables -- Protection of interactive and mobility databases -- Record linkage and alternative methods -- Synthetic data -- Data quality -- 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.

Privacy in Statistical Databases - [1st ed. 2020.]