CS35401: Grad Seminar on Applied Machine Learning

Logistics

This is a graduate research seminar focused primarily on the topic of applied machine learning, with special emphasis on robustness of ML (and deep learning) systems against attack and manipulation.

Time: Tu/Th, 11AM -- 12:20PM

Location: Hinds (HGS) 180, likely moving to Crerar after week 1

Instructor: Ben Y. Zhao

Expectations: Each class meeting will involve a student-led presentation and discussion of a relevant research paper. In addition, students will form groups and conduct an original research project in the general area of applied machine learning. Your grading will be based on your class project (60%), your presentation (30%), and general participation in discussion (10%).

Class Schedule and Readings

TBD.