Privacy-preserving machine learning / Jin Li, Ping Li, Zheli Liu, Xiaofeng Chen, Tong Li.
Li, Jin, author.; Li, Ping, author.; Liu, Zheli, author.; Chen, Xiaofeng, 1976- author.; Li, Tong, author.
2022
Q325.5
Available Online

Linked e-resources

Linked Resource Online Access
Concurrent users Unlimited
Authorized users Authorized users
Document Delivery Supplied Can lend chapters, not whole ebooks

Details

Title Privacy-preserving machine learning / Jin Li, Ping Li, Zheli Liu, Xiaofeng Chen, Tong Li.
Author Li, Jin, author.
ISBN 9789811691393 (electronic bk.)
9811691398 (electronic bk.)
9789811691386 (print)
981169138X
DOI https://doi.org/10.1007/978-981-16-9139-3
Published Singapore : Springer, 2022.
Language English
Description 1 online resource (viii, 88 pages) : illustrations (some color).
Other Standard Identifiers 10.1007/978-981-16-9139-3 doi
Call Number Q325.5
Dewey Decimal Classification 006.3/1
Summary 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.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed March 16, 2022).
Added Author Li, Ping, author.
Liu, Zheli, author.
Chen, Xiaofeng, 1976- author.
Li, Tong, author.
Series SpringerBriefs on cyber security systems and networks, 2522-557X
Available in Other Form Print version: 9789811691386
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Introduction
Secure Cooperative Learning in Early Years
Outsourced Computation for Learning
Secure Distributed Learning
Learning with Differential Privacy
Applications - Privacy-Preserving Image Processing
Threats in Open Environment
Conclusion.

Browse Subjects

Show more subjects...

Statistics

from
to
Export