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Privacy-Preserving Deep Learning: A Comprehensive Survey - SpringerBriefs on Cyber Security Systems and Networks Kwangjo Kim 2021 edition
Privacy-Preserving Deep Learning: A Comprehensive Survey - SpringerBriefs on Cyber Security Systems and Networks
Kwangjo Kim
This book discusses the state-of-the-art in privacy-preserving deep learning (PPDL), especially as a tool for machine learning as a service (MLaaS), which serves as an enabling technology by combining classical privacy-preserving and cryptographic protocols with deep learning.
74 pages, 14 Illustrations, color; 7 Illustrations, black and white; XIV, 74 p. 21 illus., 14 illus.
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 23 de julio de 2021 |
| ISBN13 | 9789811637636 |
| Editores | Springer Verlag, Singapore |
| Páginas | 74 |
| Dimensiones | 150 × 220 × 10 mm · 152 g |
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