Privacy-preserving machine learning
This book provides a thorough overview of the evolution of privacy-preserving machine learning schemes over the last ten years, after discussing the importance of privacy-preserving techniques. In response to the diversity of Internet services, data services based on machine learning are now availab...
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| Main Author: |
Li, Jin, |
| Other Authors: |
Li, Ping,, Liu, Zheli,, Chen, Xiaofeng, 1976-, Li, Tong,, SpringerLink (Online service) |
| Format: |
eBook
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| Language: |
English
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| Published: |
Singapore :
Springer,
2022.
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| Physical Description: |
1 online resource (viii, 88 pages) : illustrations (some color).
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| Series: |
SpringerBriefs on cyber security systems and networks.
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| Subjects: |
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