dK-series anonymization provides varying privacy levels depending on original graph structure, attacker starting subsets, and specific graph properties when tested against ML de-anonymization.
ACM Trans- actions on Modeling and Computer Simulation (TOMACS) 19, 4 (2009), 17
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On the Privacy of dK-Random Graphs
dK-series anonymization provides varying privacy levels depending on original graph structure, attacker starting subsets, and specific graph properties when tested against ML de-anonymization.