The Laplace Mechanism has optimal utility for differential privacy over continuous queries
Differential Privacy protects individuals' data when statistical queries are published from aggregated databases: applying "obfuscating" mechanisms to the query results makes the released information less specific but, unavoidably, also decreases its utility. Yet it has been shown tha...
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| Veröffentlicht in: | Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science S. 1 - 12 |
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| Hauptverfasser: | , , |
| Format: | Tagungsbericht |
| Sprache: | Englisch |
| Veröffentlicht: |
IEEE
29.06.2021
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| Schlagworte: | |
| Online-Zugang: | Volltext |
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