Researcher: Avrim Blum
Research Area: Privacy Protection
Cross Cutting Thrusts: Usable Privacy and Security
Scope: This project aims to advance technology for privacy-preserving synthetic dataset release in the demanding differential privacy model, as well as developing privacy formulations that extend this model with additional desirable properties for distributed databases in which each portion has its own owner.
Outcomes: New algorithms developed for preserving differential privacy as well as an improved understanding of the types of “usefulness” guarantees that can be provided for synthetic dataset construction in the differential privacy framework.