arXiv CS
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LDPGraph: Locally Differentially Private Graph Synthesis by Exploiting Neighborhood Structure
The widespread application of graph data inevitably brings significant privacy risks, as its unprotected use can lead to the leakage of sensitive information. These risks are particularly acute in the setting with an untrusted curator, where the data remains decentralized and each user only holds th
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