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Differential privacy based on importance weighting
This paper analyzes a novel method for publishing data while still protecting privacy. The method is based on computing weights that make an existing dataset, for which there are no confidentiality issues, analogous to the dataset that must be kept private. The existing dataset may be genuine but pu...
Tallennettuna:
| Päätekijät: | , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2013
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3904646/ https://ncbi.nlm.nih.gov/pubmed/24482559 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10994-013-5396-x |
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