Differentially Private Spectral Graph Clustering: Balancing Privacy, Accuracy, and Efficiency
arXiv:2510.07136v2 Announce Type: replace-cross
Abstract: We study spectral graph clustering under edge differential privacy. We propose a matrix shuffling mechanism that combines randomized edge flipping with a random permutation of the adjacency mat…