Privacy-Preserving Machine Learning

by Di Zhuang, G. Dumindu Samaraweera, J. Morris Chang

Privacy-Preserving Machine Learning is a practical guide to keeping ML data anonymous and secure. You'll learn the core principles behind different privacy preservation technologies, and how to put theory into practice for your own machine learning. Complex privacy-enhancing technologies are demystified through real world use cases forfacial recognition, cloud data storage, and more. Alongside skills for technical implementation,...

• Format: Paperback
• Language: English
• ISBN: 1617298042
• ISBN13: 9781617298042
• Release Date: May 2023
• Publisher: Manning Publications
• Length: 300 Pages
• Weight: 1.27 lbs.
• Dimensions: 0.7" x 7.4" x 9.3"