Chapter 1: Introduction to Machine Learning Security and Challenges
Chapter Overview
1.0 Learning Outcomes
1.1 Introduction to Machine Learning Security
1.2 Adversarial Attack Types: Model Processing and Development
1.3 Adversarial Attack Types: Knowledge of Adversary
1.4 Adversarial Attack Types: Capability and Intention of the Adversary.
1.5 Key Concepts in Machine Learning Security
1.6 Challenges in Securing Machine Learning Systems
1.7 Chapter Summary
1.8 End of Chapter Activities
