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Privacy-Preserving Deep Learning: A Comprehensive Survey - SpringerBriefs on Cyber Security Systems and Networks Kwangjo Kim 2021 edition
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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.
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | July 23, 2021 |
| ISBN13 | 9789811637636 |
| Publishers | Springer Verlag, Singapore |
| Pages | 74 |
| Dimensions | 150 × 220 × 10 mm · 152 g |
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