Identifying Anomalies while Preserving Privacy
Identifying anomalies in data is vital in many domains, including medicine, finance, and national security. However, privacy concerns pose a significant roadblock to carrying out such an analysis. Since existing privacy definitions do not allow good accuracy when doing outlier analysis, the notion o...
| Veröffentlicht in: | IEEE transactions on knowledge and data engineering. - 1998. - 35(2023), 12 vom: 01. Dez., Seite 12264-12281 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
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2023
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on knowledge and data engineering |
| Schlagworte: | Journal Article anomaly identification differential privacy outlier analysis outlier detection sensitive privacy |
| Online verfügbar |
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