Differentially Private High-Dimensional Data Publication via Markov Network
Differentially private data publication has recently received considerable attention. However, it faces some challenges in differentially private high-dimensional data publication, such as the complex attribute relationships, the high computationalcomplexity and data sparsity. Therefore, we propose...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
European Alliance for Innovation (EAI)
2019-01-01
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| Series: | EAI Endorsed Transactions on Security and Safety |
| Subjects: | |
| Online Access: | https://eudl.eu/pdf/10.4108/eai.29-7-2019.159626 |