Preserving Differential Privacy in Degree-Correlation based Graph Generation
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Enabling accurate analysis of social network data while preserving differential privacy has been challenging since graph features such as cluster coefficient often have high sensitivity, which is different from traditional aggregate functions (e.g., count and ... ...