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...

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Detalles Bibliográficos
Autores principales: Sun, Zhenlong, Yang, Jing, Li, Xiaoye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
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

Internet

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

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