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About The Book
Description
Author(s)
Gain hands-on experience in data privacy and privacy-preserving machine learning with open-source ML frameworks while exploring techniques and algorithms to protect sensitive data from privacy breachesKey Features:- Understand machine learning privacy risks and employ machine learning algorithms to safeguard data against breaches- Develop and deploy privacy-preserving ML pipelines using open-source frameworks- Gain insights into confidential computing and its role in countering memory-based data