This research proposes an innovative method to improve the utility of data protected by Global Differential Privacy (DP) by predicting how the data will be used in the future. The approach allows for the optimization of data utility during the privacy budget allocation process. The paper also introduces a metric that can assist developers in optimizing the budget allocation process. Future research aims to develop techniques for finding optimal budget allocations automatically.
Publication date: 12 Jan 2024
Project Page: https://arxiv.org/abs/2401.06601v1
Paper: https://arxiv.org/pdf/2401.06601
