Privacy in Statistical Databases [electronic resource] : 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 / [electronic resource] :
edited by Josep Domingo-Ferrer, Melek Önen.
- 1st ed. 2024.
- XI, 438 p. 118 illus., 77 illus. in color. online resource.
- Lecture Notes in Computer Science, 14915 1611-3349 ; .
- Lecture Notes in Computer Science, 14915 .
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.
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. .
9783031696510
10.1007/978-3-031-69651-0 doi
QA76.9.D343
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.
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. .
9783031696510
10.1007/978-3-031-69651-0 doi
QA76.9.D343