Mohamed Seif Eldin Mohamed

Differentially Private Hierarchical Spectral Clustering

A differentially private recursive spectral framework, where each binary partition is obtained via a rank-one noisy power method applied to induced adjacency sub-matrices, which achieves strong multi-scale clustering performance under meaningful privacy budgets.