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Privacy in Statistical Databases

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

  • Conference proceedings
  • © 2020

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12276)

Included in the following conference series:

Conference proceedings info: PSD 2020.

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Table of contents (25 papers)

  1. Privacy Models

  2. Microdata Protection

  3. Protection of Statistical Tables

  4. Protection of Interactive and Mobility Databases

  5. Record Linkage and Alternative Methods

Other volumes

  1. 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

  • Rovira i Virgili University, Tarragona, Catalonia, Spain

    Josep Domingo-Ferrer

  • University of Oklahoma, Norman, USA

    Krishnamurty Muralidhar

Bibliographic Information

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