Yinyihong Liu

Synthetic Data: A Tool for Privacy Protection and Model Empowerment

This work discusses key considerations and methods for generating synthetic data, including sequential modeling, differentially private synthesis, deep generative models, and large language models, and outlines some open research challenges and future directions for synthetic data development.