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

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 wer...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Domingo-Ferrer, Josep (Editor), Önen, Melek (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edition:1st ed. 2024.
Series:Lecture Notes in Computer Science, 14915
Subjects:
Data mining.
Database management.
Machine learning.
Computers and civilization.
Data protection.
Computer networks .
Data Mining and Knowledge Discovery.
Database Management.
Machine Learning.
Computers and Society.
Data and Information Security.
Computer Communication Networks.
Online Access:https://doi.org/10.1007/978-3-031-69651-0
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Summary: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. .
Physical Description:XI, 438 p. 118 illus., 77 illus. in color. online resource.
ISBN:9783031696510
ISSN:1611-3349 ;
DOI:10.1007/978-3-031-69651-0

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