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cs.CR2022★ 3 cited
Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank
Alessandro Epasto, Vahab Mirrokni, Bryan Perozzi +2
Personalized PageRank (PPR) is a fundamental tool in unsupervised learning of graph representations such as node ranking, labeling, and graph embedding. However, while data privacy…
cs.CR2022
Smooth Anonymity for Sparse Graphs
Alessandro Epasto, Hossein Esfandiari, Vahab Mirrokni +1
When working with user data providing well-defined privacy guarantees is paramount. In this work, we aim to manipulate and share an entire sparse dataset with a third party private…