K-Automorphism: A General Framework For Privacy Preserving Network Publication

By Lei Zou, Lei Chen, M. Tamer Özsu. Proceedings of the VLDB Endowment, 2009

444 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

K-isomorphism: privacy preserving network publication against structural attacks (2010, methodology): “[33] anonymizes the data graph by edge and vertex addition so that the resulting graph is k-automorphic.”
Correlated network data publication via differential privacy (2013, background): “[40] propose k-automorphism, which resists any structural attack by enforcing k − 1 automorphic functions in the published data.”
Resisting structural re-identification in anonymized social networks (2008, background): “[53], which protects against an adversary with unbounded structural knowledge.”