Privacy-Preserving Machine Learning Chang J. Morris
Keep sensitive user data safe and secure without sacrificing the performance and accuracy of your machine learning models.In Privacy Preserving Machine Learning, you will learn:Privacy considerations…
Specifikacia Privacy-Preserving Machine Learning Chang J. Morris
Keep sensitive user data safe and secure without sacrificing the performance and accuracy of your machine learning models.In Privacy Preserving Machine Learning, you will learn:Privacy considerations in machine learningDifferential privacy techniques for machine learningPrivacy-preserving synthetic data generationPrivacy-enhancing technologies for data mining and database applicationsCompressive privacy for machine learningPrivacy-Preserving Machine Learning is a comprehensive guide to avoiding data breaches in your machine learning projects. You'll get to grips with modern privacy-enhancing techniques such as differential privacy, compressive privacy, and synthetic data generation. Based on years of DARPA-funded cybersecurity research, ML engineers of all skill levels will benefit
Machine Learning
Machine Learning
Machine Learning
Machine Learning
Machine Learning
Graph Machine Learning
Machine Learning Algorithms
Understanding Machine Learning
Python Machine Learning
Python Machine Learning
Machine Learning Engineering
Programming Machine Learning