Differentially Private Publication of Social Graphs at Linear Cost
Identifieur interne : 000376 ( Main/Exploration ); précédent : 000375; suivant : 000377Differentially Private Publication of Social Graphs at Linear Cost
Auteurs : Hiep H. Nguyen [France] ; Abdessamad Imine [France] ; Michaël Rusinowitch [France]Source :
Abstract
The problem of private publication of graph data has attracted a lot of attention recently. The prevalence of differential privacy makes the problem more promising. However, a large body of existing works on differentially private release of graphs have not answered the question about the upper bounds of privacy budgets. In this paper, for the first time, such a bound is provided. We prove that with a privacy budget of O(log n), there exists an algorithm capable of releasing a noisy output graph with edge edit distance of O(1) against the true graph. At the same time, the complexity of our algorithm Top-m Filter is linear in the number of edges m. This lifts the limits of the state-of-the-art, which incur a complexity of O(n^2) where n is the number of nodes and runnable only on graphs having n of tens of thousands.
Url:
Affiliations:
- France
- Franche-Comté, Grand Est, Lorraine (région)
- Belfort, Besançon, Metz, Nancy
- Université de Bourgogne Franche-Comté, Université de Franche-Comté, Université de Lorraine, Université de technologie de Belfort-Montbéliard
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Le document en format XML
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<country>France</country>
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<front><div type="abstract" xml:lang="en">The problem of private publication of graph data has attracted a lot of attention recently. The prevalence of differential privacy makes the problem more promising. However, a large body of existing works on differentially private release of graphs have not answered the question about the upper bounds of privacy budgets. In this paper, for the first time, such a bound is provided. We prove that with a privacy budget of O(log n), there exists an algorithm capable of releasing a noisy output graph with edge edit distance of O(1) against the true graph. At the same time, the complexity of our algorithm Top-m Filter is linear in the number of edges m. This lifts the limits of the state-of-the-art, which incur a complexity of O(n^2) where n is the number of nodes and runnable only on graphs having n of tens of thousands.</div>
</front>
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<orgName><li>Université de Bourgogne Franche-Comté</li>
<li>Université de Franche-Comté</li>
<li>Université de Lorraine</li>
<li>Université de technologie de Belfort-Montbéliard</li>
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<tree><country name="France"><region name="Grand Est"><name sortKey="Nguyen, Hiep H" sort="Nguyen, Hiep H" uniqKey="Nguyen H" first="Hiep H." last="Nguyen">Hiep H. Nguyen</name>
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<name sortKey="Imine, Abdessamad" sort="Imine, Abdessamad" uniqKey="Imine A" first="Abdessamad" last="Imine">Abdessamad Imine</name>
<name sortKey="Rusinowitch, Michael" sort="Rusinowitch, Michael" uniqKey="Rusinowitch M" first="Michaël" last="Rusinowitch">Michaël Rusinowitch</name>
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