Sharing is CAIRing: Characterizing principles and assessing properties of universal privacy evaluation for synthetic tabular data
Data sharing is a necessity for innovative progress in many domains, especially in healthcare. However, the ability to share data is hindered by regulations protecting the privacy of natural persons. Synthetic tabular data provide a promising solution to address data sharing difficulties but does no...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Elsevier
2024-12-01
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| Serie: | Machine Learning with Applications |
| Soggetti: | |
| Accesso online: | http://www.sciencedirect.com/science/article/pii/S2666827024000847 |
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