Conf AI ML Priv Assu & Lab

Catalog description

This course addresses the in-depth and critical intersection of machine learning and data privacy. Students will explore techniques for training and deploying machine learning models while protecting sensitive data. Topics include differential privacy, federated learning, homomorphic encryption, secure multi-party computation, and privacy-preserving data analysis.