Differentially Private Social Graph Publishing With Nearest Neighbor Structure Preservation

Differentially Private Social Graph Publishing With Nearest Neighbor Structure Preservation

The goal of privacy-preserving social graph publishing is to protect individual privacy while preserving graph utility. Node nearest neighbor structure is a crucial social graph utility as it is the basis for many graph analysis tasks. Most existing methods with differential privacy focus on preserv...

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Bibliographic Details
Main Authors: Xinjian Zhao, Fei Xia, Guoquan Yuan, Sen Zhang, Shi Chen, Weiwei Ni
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Differential privacy
graph publishing
nearest neighbor structure
graph encoding
objective perturbation
Online Access:https://ieeexplore.ieee.org/document/10188907/

Internet

https://ieeexplore.ieee.org/document/10188907/

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