Privacy in Statistical Databases [electronic resource] : International Conference, PSD 2024, Antibes Juan-les-Pins, France, September 25-27, 2024, Proceedings / edited by Josep Domingo-Ferrer, Melek Önen.

Colaborador(es): Domingo-Ferrer, Josep [editor.] | Önen, Melek [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes in Computer Science ; 14915Editor: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: XI, 438 p. 118 illus., 77 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031696510Tema(s): 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 NetworksFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.312 Clasificación LoC:QA76.9.D343Recursos en línea: Libro electrónicoTexto
Contenidos:
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.
En: Springer Nature eBookResumen: 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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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. .

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