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Differentially Private Singular Value Decomposition for Training Support Vector Machines
Support vector machine (SVM) is an efficient classification method in machine learning. The traditional classification model of SVMs may pose a great threat to personal privacy, when sensitive information is included in the training datasets. Principal component analysis (PCA) can project instances...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976603/ https://www.ncbi.nlm.nih.gov/pubmed/35378802 http://dx.doi.org/10.1155/2022/2935975 |