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

Anonymization has been the main means of addressing privacy concerns in sharing medical and socio-demographic data. Here, the authors estimate the likelihood that a specific person can be re-identified in heavily incomplete datasets, casting doubt on the adequacy of current anonymization practices.

Guardado en:

Detalles Bibliográficos
Autores principales:	Luc Rocher, Julien M. Hendrickx, Yves-Alexandre de Montjoye
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/6c3c954c3a094ccd81b80c42685232b0
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:6c3c954c3a094ccd81b80c42685232b0
record_format	dspace
spelling	oai:doaj.org-article:6c3c954c3a094ccd81b80c42685232b02021-12-02T16:57:08ZEstimating the success of re-identifications in incomplete datasets using generative models10.1038/s41467-019-10933-32041-1723https://doaj.org/article/6c3c954c3a094ccd81b80c42685232b02019-07-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-10933-3https://doaj.org/toc/2041-1723Anonymization has been the main means of addressing privacy concerns in sharing medical and socio-demographic data. Here, the authors estimate the likelihood that a specific person can be re-identified in heavily incomplete datasets, casting doubt on the adequacy of current anonymization practices.Luc RocherJulien M. HendrickxYves-Alexandre de MontjoyeNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-9 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Luc Rocher Julien M. Hendrickx Yves-Alexandre de Montjoye Estimating the success of re-identifications in incomplete datasets using generative models
description	Anonymization has been the main means of addressing privacy concerns in sharing medical and socio-demographic data. Here, the authors estimate the likelihood that a specific person can be re-identified in heavily incomplete datasets, casting doubt on the adequacy of current anonymization practices.
format	article
author	Luc Rocher Julien M. Hendrickx Yves-Alexandre de Montjoye
author_facet	Luc Rocher Julien M. Hendrickx Yves-Alexandre de Montjoye
author_sort	Luc Rocher
title	Estimating the success of re-identifications in incomplete datasets using generative models
title_short	Estimating the success of re-identifications in incomplete datasets using generative models
title_full	Estimating the success of re-identifications in incomplete datasets using generative models
title_fullStr	Estimating the success of re-identifications in incomplete datasets using generative models
title_full_unstemmed	Estimating the success of re-identifications in incomplete datasets using generative models
title_sort	estimating the success of re-identifications in incomplete datasets using generative models
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/6c3c954c3a094ccd81b80c42685232b0
work_keys_str_mv	AT lucrocher estimatingthesuccessofreidentificationsinincompletedatasetsusinggenerativemodels AT julienmhendrickx estimatingthesuccessofreidentificationsinincompletedatasetsusinggenerativemodels AT yvesalexandredemontjoye estimatingthesuccessofreidentificationsinincompletedatasetsusinggenerativemodels
_version_	1718382629934333952

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

Ejemplares similares