Artificial Intelligence (AI) and Machine Learning (ML) have enabled the broad success of automated decision making systems, but they have also created security vulnerabilities. Real and synthetic adversaries improve these AI and ML systems, advancing the state of the art in automated speech processing, image generation, computer security, and many other fields. In this course we will discuss research on the use of adversarial methods in AI, ML, and Security.
Requisite: At least one of COSC 241, 247, or 383. Limited to 20 students. Preference given to Computer Science majors. Spring 2022. Professor Alfeld.
If Overenrolled: Preference given to Computer Science majors.
2022-23: Not offered Other years: Offered in Spring 2022