In recent years, deep learning has enabled huge progress in many domains including computer vision, speech, NLP, and robotics. This class is designed to help students develop a deeper understanding of deep learning and explore new research directions and applications of AI/deep learning and privacy/security. It assumes that students already have a basic understanding of deep learning. In particular, in this semester, we will focus on a theme, trustworthy deep learning, exploring a selected list of new, cutting-edge topics including security and privacy issues in deep learning, explainability, generalization, reliability and robustness, fairness, causality, and theoretical understanding.
Adversarial Attacks, Privacy Preservation, Security