Description
Book SynopsisPrivacy-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, you'll learn about current and future machine learning privacy challenges and how to adapt technologies to your specific needs. By the time you're done, you'll be able to create machine learning systems that preserve user privacy without sacrificing data quality and model performance.
Large-scale scandals such as the Facebook Cambridge Analytic a data breach have made many users wary of sharing sensitive and personal information. Demand has surged among machine learning engineers for privacy-preserving techniques that can keep users private details secure without adversely affecting the performance of models.
Trade Review“An interesting and well-structured book about an emerging discipline that will certainly keep growing in importance.” Alain Couniot
“Gives a deep and thorough introduction into preserving privacy while using personal data for machine learning and data mining.” HaraldKuhn
“Makes for a great introduction to privacy-preserving techniques whichmake full use of machine learning.” Aditya Kaushik
“An interesting book under a rising hot topic: privacy. I like the way using examples and figures to illustrate concepts.” XiangboMao
“The only book, that I am aware of, which goes into depths of data privacy while making sure it doesn't get boring for readers.” VishweshRavi Shrimali
“An interesting book under a rising hot topic: privacy.” XiangboMao
“A great resource to understand privacy preserving ML.” DhivyaSivasubramanian
“A great book to getting a deep theoretical overview of the landscape of privacy preserving approaches while also getting hands-on pragmatic experience.”Stephen Oates
