Estimating the success of re-identifications in incomplete datasets using generative models

While rich medical, behavioral, and socio-demographic data are key to modern data-driven research, their collection and use raise legitimate privacy concerns. Anonymizing datasets through de-identification and sampling before sharing them has been the main tool used to address those concerns. We her...

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Detalles Bibliográficos
Autores principales: Rocher, Luc, Hendrickx, Julien M., de Montjoye, Yves-Alexandre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6650473/
https://www.ncbi.nlm.nih.gov/pubmed/31337762
http://dx.doi.org/10.1038/s41467-019-10933-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6650473/
https://www.ncbi.nlm.nih.gov/pubmed/31337762
http://dx.doi.org/10.1038/s41467-019-10933-3

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