Differentially Private Guarantees for Analytics and Machine Learning on Graphs: A Survey of Results
We study the applications of differential privacy (DP) in the context of graph-structured data and discuss the formulations of DP applicable to the publication of graphs and their associated statistics as well as machine learning on graph-based data, including graph neural networks (GNNs). Interpre...
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| Principais autores: | , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Labor Dynamics Institute
2024-02-01
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| Serier: | The Journal of Privacy and Confidentiality |
| Fag: | |
| Online adgang: | https://journalprivacyconfidentiality.org/index.php/jpc/article/view/820 |
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