Differentially Private Sketch-and-Solve for Community Detection via Semidefinite Programming
M Seif, Y Chen, AJ Goldsmith… - IEEE Journal on Selected …, 2024 - ieeexplore.ieee.org
We study the community detection problem over binary symmetric stochastic block models
(SBMs) while preserving the privacy of the individual connections between the vertices. We …
(SBMs) while preserving the privacy of the individual connections between the vertices. We …
Edge local differential privacy for dynamic graphs
Huge amounts of data are generated and shared in social networks and other network
topologies. This raises privacy concerns when such data is not protected from leaking …
topologies. This raises privacy concerns when such data is not protected from leaking …
Differential privacy statistical inference for a directed graph network model with covariates
J Luo, Z Xu - arXiv preprint arXiv:2312.04903, 2023 - arxiv.org
The real network has two characteristics: heterogeneity and homogeneity. A directed
network model with covariates is proposed to analyze these two features, and the asymptotic …
network model with covariates is proposed to analyze these two features, and the asymptotic …
Adding Edge Local Differential Privacy to the Dynamic Stochastic Block Model
In today's networked systems a massive amount of data is produced every day. These data
can be modelled using graphs, where the nodes typically correspond to users or devices …
can be modelled using graphs, where the nodes typically correspond to users or devices …