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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2019
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| 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 |