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Privacy-Preserving Machine Learning
Engelsk
Bogcover for Privacy-Preserving Machine Learning af Zheli Liu, Jin Li, Xiaofeng Chen, Tong Li, Ping Li, 9789811691386
Specifikationer
Sprog:
Engelsk
Sider:
88
ISBN-13:
9789811691386
Indbinding:
Paperback
ISBN-10:
981169138X
Kategori:
Udg. Dato:
15 mar 2022
Størrelse i cm:
23,5 x 15,5
Serie:
SpringerBriefs on Cyber Security Systems and Networks
Oplagsdato:
15 mar 2022

Privacy-Preserving Machine Learning

Engelsk
Paperback 2022
Format:

Bog beskrivelse

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 available for various applications, including risk assessment and image recognition. In light of open access to datasets and not fully trusted environments, machine learning-based applications face enormous security and privacy risks. In turn, it presents studies conducted to address privacy issues and a series of proposed solutions for ensuring privacy protection in machine learning tasks involving multiple parties. In closing, the book reviews state-of-the-art privacy-preserving techniques and examines the security threats they face.

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Specifikationer
Sprog:
Engelsk
Sider:
88
ISBN-13:
9789811691386
Indbinding:
Paperback
ISBN-10:
981169138X
Kategori:
Udg. Dato:
15 mar 2022
Størrelse i cm:
23,5 x 15,5
Serie:
SpringerBriefs on Cyber Security Systems and Networks
Oplagsdato:
15 mar 2022
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