CAI 320 Adversarial Machine Learning

This lab-intensive course examines the statistical, data-based nature of AI vulnerabilities. Students will simulate evasion attacks where input data is subtly tweaked to fool a model into an incorrect prediction and data poisoning where manipulated data is inserted into training sets.

Credits

5

Prerequisite

CSS 400

Corequisite

None