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基于度相关图生成的差分隐私保护

IF 0.9 Q3 COMPUTER SCIENCE, THEORY & METHODS
Transactions on Data Privacy Pub Date : 2013-08-01 DOI:10.5555/2612167.2612168
WangYue, WUXin-Tao
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引用次数: 15

摘要

在保持差异隐私的同时，实现对社交网络数据的准确分析一直是一项挑战，因为聚类系数等图形特征通常具有很高的灵敏度，这是一项挑战。
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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Preserving Differential Privacy in Degree-Correlation based Graph Generation
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 d...
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来源期刊
Transactions on Data Privacy
Transactions on Data Privacy COMPUTER SCIENCE, THEORY & METHODS-
CiteScore
3.00
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0.00%
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