Generalized Rainbow Differential Privacy
We study a new framework for designing differentially private (DP) mechanisms via randomized graph colorings, called rainbow differential privacy. In this framework, datasets are nodes in a graph, and two neighboring datasets are connected by an edge. Each dataset in the graph has a preferential or...
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| Huvudupphov: | , , , , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
Labor Dynamics Institute
2024-06-01
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| Serie: | The Journal of Privacy and Confidentiality |
| Ämnen: | |
| Länkar: | https://journalprivacyconfidentiality.org/index.php/jpc/article/view/896 |
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