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Securely Measuring the Overlap between Private Datasets with Cryptosets
Many scientific questions are best approached by sharing data—collected by different groups or across large collaborative networks—into a combined analysis. Unfortunately, some of the most interesting and powerful datasets—like health records, genetic data, and drug discovery data—cannot be freely s...
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| Publicado en: | PLoS One |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Public Library of Science
2015
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4340911/ https://ncbi.nlm.nih.gov/pubmed/25714898 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0117898 |
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