极大痛苦
发表于 2025-3-28 15:32:59
Impact of Using a Privacy Model on Smart Buildings Data for CO, Predictionor worse than others; also, the temporal dimension was particularly sensitive, with scores decreasing up to . between the original and the transformed data. This shows the effect of different levels of data privacy on the data utility of IoT applications, and can also help to identify which paramete
Insubordinate
发表于 2025-3-28 21:16:28
Digital Twins for IoT Security Managementof concept to demonstrate the practical applicability of this approach for four different security use cases. Our results provide a starting point for further research to leverage digital twins for IoT security management.
巡回
发表于 2025-3-28 23:42:21
Data Distribution Impact on Preserving Privacy in Centralized and Decentralized Learning Learning (DILDP-FL). DILDP-FL is based on the distribution-invariant privatization method known as DIP. It transforms and perturbs the data while employing suitable transformations to achieve query results similar to those obtained from the original data. Our experimental findings demonstrate that
陶器
发表于 2025-3-29 06:15:35
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FECT
发表于 2025-3-29 10:03:57
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Cytology
发表于 2025-3-29 11:31:10
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quiet-sleep
发表于 2025-3-29 18:35:29
Data and Applications Security and Privacy XXXVII978-3-031-37586-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
生命
发表于 2025-3-29 22:44:40
https://doi.org/10.1007/978-3-540-47590-3 With LDP, users can perturb their data on their devices before sending it out for analysis. However, as the collection of multiple sensitive information becomes more prevalent across various industries, collecting a single sensitive attribute under LDP may not be sufficient. Correlated attributes i
栏杆
发表于 2025-3-30 00:20:48
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态学
发表于 2025-3-30 06:53:07
Japan Association for‘Chemical Innovationesence information of a particular individual could be revealed from the statistics obtained in large-scale genomic analyses. Existing methods for releasing genome statistics under differential privacy do not prevent the leakage of personal information by untrusted data collectors. In addition, the