Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Utility of privacy preservation for health data publishing
7
Zitationen
3
Autoren
2013
Jahr
Abstract
In the medical field, we are amassing phenomenal amounts of data. Because of understandable ethical and legal responsibility to maintain the privacy, many techniques of anonymization have been proposed to provide means of data publishing without jeopardizing privacy. The strictness of the techniques is putting in question the utility of the health data after severe anonymization.
Ähnliche Arbeiten
k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY
2002 · 8.437 Zit.
Calibrating Noise to Sensitivity in Private Data Analysis
2006 · 6.944 Zit.
Deep Learning with Differential Privacy
2016 · 5.707 Zit.
Federated Machine Learning
2019 · 5.677 Zit.
Communication-Efficient Learning of Deep Networks from Decentralized\n Data
2016 · 5.604 Zit.