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Private algorithms for the protected in social network search
Motivated by tensions between data privacy for individual citizens and societal priorities such as counterterrorism and the containment of infectious disease, we introduce a computational model that distinguishes between parties for whom privacy is explicitly protected, and those for whom it is not...
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| Publicado en: | Proc Natl Acad Sci U S A |
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| Autores principales: | , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
National Academy of Sciences
2016
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4743768/ https://ncbi.nlm.nih.gov/pubmed/26755606 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1510612113 |
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