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DPSynthesizer: Differentially Private Data Synthesizer for Privacy Preserving Data Sharing
Differential privacy has recently emerged in private statistical data release as one of the strongest privacy guarantees. Releasing synthetic data that mimic original data with Differential privacy provides a promising way for privacy preserving data sharing and analytics while providing a rigorous...
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| Veröffentlicht in: | Proceedings VLDB Endowment |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2014
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4496798/ https://ncbi.nlm.nih.gov/pubmed/26167358 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.14778/2733004.2733059 |
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