Local differential privacy for social network publishing

Author:

Liu Peng,Xu YuanXin,Jiang Quan,Tang Yuwei,Guo Yameng,Wang Li-e,Li Xianxian

Funder

National Natural Science Foundation of China

Guangxi Natural Science Foundation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference31 articles.

1. K-isomorphism:privacy preserving network publication against structural attacks[C];Cheng,2010

2. Anonymizing bipartite graph data using safe groupings[J];Cormode;VLDB J. Int. J. Very Large Data Bases,2010

3. Calibrating noise to sensitivity in private data analysis[J];Dwork;Proc. VLDB Endow.,2006

4. Publishing attributed social graphs with formal privacy guarantees[C];Jorgensen,2016

5. Boosting the accuracy of differentially private histograms through consistency[J];Hay;Proc. VLDB Endow.,2010

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