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Differentially Private Graph Learning: A Survey

This survey presents the first comprehensive and systematic review of Differentially Private Graph Learning (DPGL), and organizes existing DPGL methods into four categories based on the granularity of privacy protection, namely node-level, edge-level, graph-level, and node-level.

Longzhu He, Li Sun, Ming Li et al. · 0 citations