Trustworthy Deep Learning is an advanced course designed to explore the challenges and methods for developing deep learning models that are reliable, transparent, and ethical. Deep learning has become increasingly powerful and widely used in various domains, including healthcare, finance, autonomous systems, and more. However, the lack of trustworthiness in deep learning models can pose significant risks, such as biased decisions, lack of interpretability, and vulnerabilities to adversarial attacks.
