Rejoinder: Gaussian Differential Privacy

We warmly thank Editor Paul Smith for selecting our paper for discussion and are extremely grateful to all the discussants for taking their valuable time to provide engaging and stimulating feedback on our work. These insights situate our work in context and provide promising directions for future research. We are excited to see that thoughts about theoretical complements and new applications are already emerging. A general view, shared by all discussants, is that privacy is a first-order concern in many data science problems. We are very pleased to learn that our statistics community welcomes new foundational development and methodological contributions that allow for privacy protections in statistical data analysis.