Privacy-Preserving Machine Learning

1 Privacy considerations in machine learning

This chapter covers

• The importance of privacy protection in the era of big data artificial intelligence
• Types of privacy-related threats, vulnerabilities, and attacks in machine learning
• Techniques that can be utilized in machine learning tasks to minimize or evade privacy risks and attacks

Our search queries, browsing history, purchase transactions, watched videos, and movie preferences are a few types of information that are collected and stored daily. Advances in artificial intelligence have increased the ability to capitalize on and benefit from the collection of private data.

This data collection happens within our mobile devices and computers, on the streets, and even in our own offices and ...