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.
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
438
Privacy in Statistical Databases: International Conference, PSD 2024, Antibes Juan-les-Pins, France, September 25-27, 2024, Proceedings
438
Product Details
| ISBN-13: | 9783031696503 |
|---|---|
| Publisher: | Springer Nature Switzerland |
| Publication date: | 09/13/2024 |
| Series: | Lecture Notes in Computer Science , #14915 |
| Edition description: | 2024 |
| Pages: | 438 |
| Product dimensions: | 6.10(w) x 9.25(h) x (d) |