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Privacy-Preserving Machine Learning
Engelsk Paperback
Privacy-Preserving Machine Learning
Engelsk Paperback

512 kr
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Om denne bog

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.

Product detaljer
Sprog:
Engelsk
Sider:
88
ISBN-13:
9789811691386
Indbinding:
Paperback
Udgave:
ISBN-10:
981169138X
Kategori:
Udg. Dato:
15 mar 2022
Længde:
0mm
Bredde:
155mm
Højde:
235mm
Forlag:
Springer Verlag, Singapore
Oplagsdato:
15 mar 2022
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