Graph Convolutional Networks for Privacy Metrics in Online Social Networks
In recent years, privacy leakage events in large-scale social networks have become increasingly frequent. Traditional methods relying on operators have been unable to effectively curb this problem. Researchers must turn their attention to the privacy protection of users themselves. Privacy metrics a...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-02-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/10/4/1327 |