Privacy in Statistical Databases : International Conference, PSD 2024, Antibes Juan-les-Pins, France, September 25–27, 2024, Proceedings

著者名：Domingo-Ferrer, Josep (EDT)/Önen, Melek (EDT)

Springer（2024/09/12発売）

• 言語：ENG
• ISBN：9783031696503
• eISBN：9783031696510

Description

​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.
 

Table of Contents

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.- Case studies.