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Differentially Private Synthesization of Multi-Dimensional Data using Copula Functions
Differential privacy has recently emerged in private statistical data release as one of the strongest privacy guarantees. Most of the existing techniques that generate differentially private histograms or synthetic data only work well for single dimensional or low-dimensional histograms. They become...
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| Pubblicato in: | Adv Database Technol |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2014
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4232968/ https://ncbi.nlm.nih.gov/pubmed/25405241 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5441/002/edbt.2014.43 |
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