Compressed Sensing-Based Privacy Preserving in Labeled Dynamic Social Networks
Author:
Affiliation:
1. College of Computer Science and Electronic Engineering, Hunan University, Changsha, China
2. School of Computer Science, Hunan University of Technology and Business, Changsha, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering,Computer Networks and Communications,Computer Science Applications,Information Systems
Link
http://xplorestaging.ieee.org/ielx7/4267003/4357939/09863741.pdf?arnumber=9863741
Cited by 4 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. A Privacy Preservation Method for Attributed Social Network Based on Negative Representation of Information;Computer Modeling in Engineering & Sciences;2024
2. An Automatic Privacy-Aware Framework for Text Data in Online Social Network Based on a Multi-Deep Learning Model;International Journal of Intelligent Systems;2023-11-08
3. A negative survey based privacy preservation method for topology of social networks;Applied Soft Computing;2023-10
4. PPDU: dynamic graph publication with local differential privacy;Knowledge and Information Systems;2023-03-18
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