PRIVACY-PRESERVING MACHINE LEARNING a use-case-driven approach to develop and protecting ML pipelines from privacy and security threats / Srinivasa Rao Aravilli.

Privacy regulations are evolving each year and compliance with privacy regulations is mandatory for every enterprise. Machine learning engineers are required to not only analyze large amounts of data to gain crucial insights, but also comply with privacy regulations to protect sensitive data. This m...

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Bibliographic Details

Online Access:	Full Text (via O'Reilly/Safari)
Main Author:	Aravilli, Srinivasa Rao (Author)
Format:	eBook
Language:	English
Published:	Birmingham, UK : Packt Publishing Ltd., 2024.
Edition:	1st edition.
Subjects:	Machine learning > Security measures. Computer networks > Security measures.