Selecting Optimal Subset to release under Differentially Private M-estimators from Hybrid Datasets
Privacy concern in data sharing especially for health data gains particularly increasing attention nowadays. Now some patients agree to open their information for research use, which gives rise to a new question of how to effectively use the public information to better understand the private datase...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on knowledge and data engineering. - 1998. - 30(2018), 3 vom: 01. März, Seite 573-584
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| 1. Verfasser: |
Wang, Meng
(VerfasserIn) |
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| Weitere Verfasser: |
Ji, Zhanglong,
Kim, Hyeon-Eui,
Wang, Shuang,
Xiong, Li,
Jiang, Xiaoqian |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2018
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on knowledge and data engineering
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| Schlagworte: | Journal Article
M-estimators
differential privacy
hybrid datasets |
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