CS 562 - Adv Topics in Sec, Priv and ML
Last offered Fall 2022
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.
|Adv Topics in Sec, Priv and ML||SML||75418||LCD||4||1530 - 1645||T R||1310 Digital Computer Laboratory||Bo Li|