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...
| Publié dans: | IEEE transactions on knowledge and data engineering. - 1998. - 35(2023), 12 vom: 09. Dez., Seite 12264-12281 |
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| Auteur principal: | |
| Autres auteurs: | , |
| Format: | Article en ligne |
| Langue: | English |
| Publié: |
2023
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| Accès à la collection: | IEEE transactions on knowledge and data engineering |
| Sujets: | Journal Article anomaly identification differential privacy outlier analysis outlier detection sensitive privacy |
| Accès en ligne |
Volltext |