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...
Na minha lista:
| Principais autores: | , |
|---|---|
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
IEEE
2023-01-01
|
| Serier: | IEEE Access |
| Fag: | |
| Online adgang: | https://ieeexplore.ieee.org/document/10011406/ |
| Tags: |
Ingen Tags, Vær først til at tagge denne postø!
|