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)
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Privacy Models and Concepts
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Microdata Protection
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Synthetic Data Generation Methods
Other volumes
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Privacy in Statistical Databases
Editors and Affiliations
Bibliographic Information
Book Title: Privacy in Statistical Databases
Book Subtitle: International Conference, PSD 2024, Antibes Juan-les-Pins, France, September 25–27, 2024, Proceedings
Editors: Josep Domingo-Ferrer, Melek Önen
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-69651-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Softcover ISBN: 978-3-031-69650-3Published: 13 September 2024
eBook ISBN: 978-3-031-69651-0Published: 12 September 2024
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 438
Number of Illustrations: 41 b/w illustrations, 77 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Database Management, Machine Learning, Computers and Society, Systems and Data Security, Computer Communication Networks