Abstract

In this project we propose to develop techniques which can support an end-to end approach to formal privacy for sample surveys. Previous research in formal privacy already focused on the design of privacy notions and algorithms that can be used to support different aspects of sample surveys. However, these aspects have often been considered in isolation and under simplifying assumptions. This limits the applicability of the proposed analyses and techniques to realistic scenarios.