Efficient and Secure Foundation Models Video

With the development of machine learning algorithms, more and more challenging tasks can be well-addressed by foundation models, such as Vision Transformers in computer vision tasks, BERT in natural language processing tasks, diffusion models in generative tasks, etc. These models, while achieving remarkable performance, face challenges related to efficiency and security. This tutorial aims to provide a comprehensive exploration of these foundation models, emphasizing their role in addressing real-world applications, and discussing their potential issues as well as current solutions regarding efficiency and security.