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Privacy-Preserving Machine Learning:

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Bibliographic Details
Main Authors:	Li, Jin (Author), Li, Ping (Author), Liu, Zheli (Author), Chen, Xiaofeng (Author), Li, Tong (Author)
Format:	Electronic eBook
Language:	English
Published:	Singapore Springer Singapore 2022 Singapore Springer
Edition:	1st ed. 2022
Series:	SpringerBriefs on Cyber Security Systems and Networks
Subjects:	Privacy Machine Learning Data protection—Law and legislation Machine learning
Links:	https://doi.org/10.1007/978-981-16-9139-3 https://doi.org/10.1007/978-981-16-9139-3 https://doi.org/10.1007/978-981-16-9139-3 https://doi.org/10.1007/978-981-16-9139-3 https://doi.org/10.1007/978-981-16-9139-3 https://doi.org/10.1007/978-981-16-9139-3 https://doi.org/10.1007/978-981-16-9139-3 https://doi.org/10.1007/978-981-16-9139-3 https://doi.org/10.1007/978-981-16-9139-3 https://doi.org/10.1007/978-981-16-9139-3 https://doi.org/10.1007/978-981-16-9139-3 https://doi.org/10.1007/978-981-16-9139-3 https://doi.org/10.1007/978-981-16-9139-3 https://doi.org/10.1007/978-981-16-9139-3 https://doi.org/10.1007/978-981-16-9139-3 https://doi.org/10.1007/978-981-16-9139-3 https://doi.org/10.1007/978-981-16-9139-3 https://doi.org/10.1007/978-981-16-9139-3 https://doi.org/10.1007/978-981-16-9139-3 https://doi.org/10.1007/978-981-16-9139-3 https://doi.org/10.1007/978-981-16-9139-3 https://doi.org/10.1007/978-981-16-9139-3 https://doi.org/10.1007/978-981-16-9139-3 https://doi.org/10.1007/978-981-16-9139-3
Physical Description:	1 Online-Ressource (VIII, 88 p. 21 illus., 18 illus. in color)
ISBN:	9789811691393
ISSN:	2522-557X
DOI:	10.1007/978-981-16-9139-3

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Record in the Search Index

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physical	1 Online-Ressource (VIII, 88 p. 21 illus., 18 illus. in color)
psigel	ZDB-2-SCS ZDB-2-SCS_2022
publishDate	2022
publishDateSearch	2022
publishDateSort	2022
publisher	Springer Singapore Springer
record_format	marc
series2	SpringerBriefs on Cyber Security Systems and Networks
spelling	Li, Jin Verfasser aut Privacy-Preserving Machine Learning by Jin Li, Ping Li, Zheli Liu, Xiaofeng Chen, Tong Li 1st ed. 2022 Singapore Springer Singapore 2022 Singapore Springer 1 Online-Ressource (VIII, 88 p. 21 illus., 18 illus. in color) txt rdacontent c rdamedia cr rdacarrier SpringerBriefs on Cyber Security Systems and Networks 2522-557X Privacy Machine Learning Data protection—Law and legislation Machine learning Li, Ping aut Liu, Zheli aut Chen, Xiaofeng aut Li, Tong aut Erscheint auch als Druck-Ausgabe 978-981-1691-38-6 Erscheint auch als Druck-Ausgabe 978-981-1691-40-9 https://doi.org/10.1007/978-981-16-9139-3 Verlag URL des Erstveröffentlichers Volltext
spellingShingle	Li, Jin Li, Ping Liu, Zheli Chen, Xiaofeng Li, Tong Privacy-Preserving Machine Learning Privacy Machine Learning Data protection—Law and legislation Machine learning
title	Privacy-Preserving Machine Learning
title_auth	Privacy-Preserving Machine Learning
title_exact_search	Privacy-Preserving Machine Learning
title_full	Privacy-Preserving Machine Learning by Jin Li, Ping Li, Zheli Liu, Xiaofeng Chen, Tong Li
title_fullStr	Privacy-Preserving Machine Learning by Jin Li, Ping Li, Zheli Liu, Xiaofeng Chen, Tong Li
title_full_unstemmed	Privacy-Preserving Machine Learning by Jin Li, Ping Li, Zheli Liu, Xiaofeng Chen, Tong Li
title_short	Privacy-Preserving Machine Learning
title_sort	privacy preserving machine learning
topic	Privacy Machine Learning Data protection—Law and legislation Machine learning
topic_facet	Privacy Machine Learning Data protection—Law and legislation Machine learning
url	https://doi.org/10.1007/978-981-16-9139-3
work_keys_str_mv	AT lijin privacypreservingmachinelearning AT liping privacypreservingmachinelearning AT liuzheli privacypreservingmachinelearning AT chenxiaofeng privacypreservingmachinelearning AT litong privacypreservingmachinelearning

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