International Conference, PSD 2024, Antibes Juan-les-Pins, France, September 25–27, 2024, Proceedings Domingo-Ferrer, Josep. editor. edt http://id.loc.gov/vocabulary/relators/edt Önen, Melek. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

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access XI, 438 p. 118 illus., 77 illus. in color. online resource. 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 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. edited by Josep Domingo-Ferrer, Melek Önen. 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 Networks QA76.9.D343 9783031696510 https://doi.org/10.1007/978-3-031-69651-0 https://doi.org/10.1007/978-3-031-69651-0 240912 20251030113037.0 978-3-031-69651-0