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Privacy in Statistical Databases

International Conference, PSD 2024, Antibes Juan-les-Pins, France, September 25–27, 2024, Proceedings

  • Conference proceedings
  • © 2024

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14915)

Included in the following conference series:

Conference proceedings info: PSD 2024.

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About this book

​This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2024, held in Antibes Juan-les-Pins, France, during September 25-27, 2024.

The 28 papers presented in this volume were carefully reviewed and selected from 46 submissions. They were organized in topical sections as follows: Privacy models and concepts; Microdata protection; Statistical table protection; Synthetic data generation methods; Synthetic data generation software; Disclosure risk assessment; Spatial and georeferenced data; Machine learning and privacy; and Case studies.
 

Keywords

Table of contents (28 papers)

  1. Privacy Models and Concepts

  2. Microdata Protection

  3. Synthetic Data Generation Methods

  4. Synthetic Data Generation Software

  5. Disclosure Risk Assessment

Other volumes

  1. Privacy in Statistical Databases

Editors and Affiliations

  • Rovira i Virgili University, Tarragona, Spain

    Josep Domingo-Ferrer

  • EURECOM, Biot, France

    Melek Önen

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