Adversarial Examples

This lesson introduces adversarial examples, one of the most important concepts in AI security. Learners explore how tiny, often invisible modifications to data can cause machine learning models to make incorrect predictions. The lesson explains why adversarial examples work, examines visual attack scenarios, and introduces foundational robustness concepts. Students will gain an intuitive understanding of AI vulnerabilities and the defensive techniques used to make models more resilient against manipulation.