Privacy-Preserving Machine Learning

3 Advanced concepts of differential privacy for machine learning

This chapter covers

• Design principles of differentially private machine learning algorithms
• Designing and implementing differentially private supervised learning algorithms
• Designing and implementing differentially private unsupervised learning algorithms
• Walking through designing and analyzing a differentially private machine learning algorithm

In the previous chapter we investigated the definition and general use of differential privacy (DP) and the properties of differential privacy that work under different scenarios (the postprocessing property, group property, and composition properties). We also looked into common and widely adopted DP mechanisms that have served as essential ...