Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy (Extended abstract)
Title: | Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy (Extended abstract) |
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Authors: | Ma, Chuan, Yuan, Long, Han, Li, Ding, Ming, Bhaskar, Raghav, Li, Jun |
Source: | 2024 IEEE 40th International Conference on Data Engineering (ICDE) ICDE Data Engineering (ICDE), 2024 IEEE 40th International Conference on. :5721-5722 May, 2024 |
Relation: | 2024 IEEE 40th International Conference on Data Engineering (ICDE) |
Database: | IEEE Xplore Digital Library |
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RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/ICDE60146.2024.00492 PhysicalDescription: Pagination: PageCount: 2 StartPage: 5721 Titles: – TitleFull: Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy (Extended abstract) Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ma, Chuan – PersonEntity: Name: NameFull: Yuan, Long – PersonEntity: Name: NameFull: Han, Li – PersonEntity: Name: NameFull: Ding, Ming – PersonEntity: Name: NameFull: Bhaskar, Raghav – PersonEntity: Name: NameFull: Li, Jun IsPartOfRelationships: – BibEntity: Dates: – D: 13 M: 05 Type: published Y: 2024 Identifiers: – Type: isbn-print Value: 9798350317152 – Type: issn-print Value: 2375026X – Type: issn-locals Value: edseee.IEEEConferenc Titles: – TitleFull: 2024 IEEE 40th International Conference on Data Engineering (ICDE), Data Engineering (ICDE), 2024 IEEE 40th International Conference on, ICDE Type: main |
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