Privacy in Statistical Databases (eBook, PDF)

International Conference, PSD 2024, Antibes Juan-les-Pins, France, September 25-27, 2024, Proceedings
Redaktion: Domingo-Ferrer, Josep; Önen, Melek

• Format: PDF

Produktbeschreibung

¿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.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 438
• Erscheinungstermin: 12. September 2024
• Englisch
• ISBN-13: 9783031696510
• Artikelnr.: 72240605

Inhaltsangabe

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.