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COMP 5388

(CSI 5388 ) AI for Cybersecurity Applications

0.5 credit · Graduate

Cybersecurity problems and challenges. Supervised and unsupervised learning. Classification and regression algorithms. Performance assessment in cybersecurity domains. Techniques for imbalanced domains. Anomaly detection. Active learning strategies. Cybersecurity of data streams. ML vulnerability. NLP for cybersecurity. Malware, intrusion, credit card fraud detection, phishing, authentication abuse prevention.

Prerequisites & course information

Prerequisite(s): There are no official prerequisites for this course. However, students should have reasonable exposure to Artificial Intelligence, Machine Learning, and some programming experience in a high-level language.

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