SoK: Practical Aspects of Releasing Differentially Private Graphs
SoK: Practical Aspects of Releasing Differentially Private Graphs explores A framework to help practitioners select and evaluate differentially private graph release methods, addressing privacy and utility trade-offs.. Commercial viability score: 4/10 in Privacy-Preserving AI.
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