Privacy in Statistical Databases: International Conference, Psd 2024, Antibes Juan-Les-Pins, France, September 25-27, 2024, Proceedings
暫譯: 統計資料庫中的隱私:國際會議,Psd 2024,法國安提布-胡安萊斯平,2024年9月25-27日,會議論文集
Domingo-Ferrer, Josep, Önen, Melek
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商品描述
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.
商品描述(中文翻譯)
本書為2024年9月25日至27日在法國安提布-胡安萊潘斯舉行的國際統計數據庫隱私會議(PSD 2024)的經過審核的會議論文集。
本卷中所呈現的28篇論文是從46篇投稿中仔細審核和選出的。這些論文按照主題分為以下幾個部分:隱私模型與概念;微數據保護;統計表保護;合成數據生成方法;合成數據生成軟體;揭露風險評估;空間與地理參考數據;機器學習與隱私;以及案例研究。