1.0 Learning Outcomes

By the end of this chapter, students will be able to:

• Explain the importance of machine learning security.
• Identify key challenges in securing machine learning systems.
• Discuss the concepts of robustness and adversarial resilience in ML.
• Evaluate threats and vulnerabilities across the ML pipeline.