This talk starts out with an introduction of the importance of privacy protection in the big data AI era. Different types of privacy-related threats, vulnerabilities and attacks in machine learning are introduced. Then, a summary of techniques that can be utilized in machine learning tasks in terms of minimizing and evading privacy risks and attacks is presented. The content of a newly available book, entitled Privacy-preserving Machine Learning*, from Manning Publications will be introduced.