Identity obfuscation in graphs through the information theoretic lens
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/5765035/5767827/05767905.pdf?arnumber=5767905
Cited by 28 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. An Efficient Approach for Anonymising the Structure of Heterogeneous Graphs;2022 IEEE International Conference on Big Data (Big Data);2022-12-17
2. P$$^2$$CG: a privacy preserving collaborative graph neural network training framework;The VLDB Journal;2022-11-04
3. An evaluation of vertex and edge modification techniques for privacy-preserving on graphs;Journal of Ambient Intelligence and Humanized Computing;2019-06-15
4. Privacy-Preserving Community-Aware Trending Topic Detection in Online Social Media;Data and Applications Security and Privacy XXXI;2017
5. Change of Guard;Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security;2016-10-28
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