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.
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.
Privacy in Statistical Databases: International Conference, PSD 2024, Antibes Juan-les-Pins, France, September 25-27, 2024, Proceedings
Privacy in Statistical Databases: International Conference, PSD 2024, Antibes Juan-les-Pins, France, September 25-27, 2024, Proceedings
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Product Details
| ISBN-13: | 9783031696510 |
|---|---|
| Publisher: | Springer-Verlag New York, LLC |
| Publication date: | 09/12/2024 |
| Series: | Lecture Notes in Computer Science , #14915 |
| Sold by: | Barnes & Noble |
| Format: | eBook |
| File size: | 40 MB |
| Note: | This product may take a few minutes to download. |