Machine Learning for Security

Catalog description

Foundational principles of machine learning (ML) algorithms as applied to security. Feature extraction and selection; supervised and unsupervised learning classifiers; performance evaluation and vulnerability analysis of ML algorithms; and case studies of ML application to security.