Computer Science 691M - S-Adversarial Machine Learning

Adversarial machine learning is the study of the attacks that systematically alter the inferences produced learned models. ML systems are increasingly foundational for large technological systems such as social media, news recommendation, fraud detection, autonomous vehicles, and systems security. In this course, we will read and discuss central papers from a variety of machine learning and security conferences and journals.

Open to Computer Science graduate students only. SEATS SAVED FOR INCOMING GRAD STUDENT REGISTRATION. STUDENTS NEEDING SPECIAL PERMISSION MUST REQUEST OVERRIDES VIA THE ON-LINE FORM: https://www.cics.umass.edu/overrides.