Course Websites

CS 562 - Adv Topics in Sec, Priv and ML

Last offered Fall 2022

Official Description

Advanced topics in security and privacy problems in machine learning systems, selected from areas of current research such as: adversarial machine learning, differential privacy, game theory enabled defenses, robust learning methods, machine learning based cybercrime analysis, network intrusion detection, and malware analysis, and machine learning interpretation techniques. Course Information: 4 graduate hours. No professional credit. May be repeated if topics vary. Credit is not given towards a degree from multiple offerings of this course if those offerings have significant overlap, as determined by the CS department. Prerequisite: CS 446 and CS 463 or equivalent courses, by consent of instructor. Additional prerequisites or corequisites may be specified each term. See section information.

Related Faculty

Course Director

Adv Topics in Sec, Priv and MLSML75418LCD41530 - 1645 T R  1310 Digital Computer Laboratory Bo Li