Sharing Information with Differential Privacy: A Database Perspective (VLDB 2024 Keynote)

In the digital age, the widespread collection and analysis of data pose significant privacy challenges. Differential privacy (DP) has emerged as a leading framework for ensuring that information release does not compromise individual privacy. In this talk, we will delve into the theoretical and practical aspects of achieving DP from a database perspective. We will start by examining database reconstruction attacks and their implications. We will then explore the design of DP query processing techniques, as well as the generation of synthetic databases under DP. Finally, we will discuss future directions for research in DP data management.