Quantifying the Vulnerability of Attributes for Effective Privacy Preservation Using Machine Learning
Personal data have been increasingly used in data-driven applications to improve quality of life. However, privacy preservation of personal data while sharing it with analysts/ researchers has become an essential requirement to be met by data owners (hospitals, banks, insurance companies, etc.). The...
Guardat en:
| Autors principals: | , |
|---|---|
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
IEEE
2023-01-01
|
| Col·lecció: | IEEE Access |
| Matèries: | |
| Accés en línia: | https://ieeexplore.ieee.org/document/10011406/ |
| Etiquetes: |
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|