COSC 89.27 Security and Privacy of Machine Learning
Today we see applications of machine learning almost everywhere we look – in the domains of autonomous driving, medical diagnosis, fraud detection, etc. While the use of machine learning is increasing in our day-to-day lives, these techniques also pose significant threats to security and data privacy. This course will explore recent academic research at the intersection of machine learning, security, and data privacy that demonstrates the risks adversaries pose to machine learning systems. The research papers explored in this course would cover attacks on machine learning systems as well as defense techniques to mitigate such attacks. Students will read, analyze, and discuss research papers, write summaries, take notes, and undertake a term-long research project.
Prerequisite
COSC 74. Assumes that students understand basics of machine learning. Knowledge of security & privacy useful but not required if students are willing/able to learn background materials on their own.