Aggregating Votes with Local Differential Privacy: Usefulness, Soundness vs. Indistinguishability

no code implementations • 14 Aug 2019 • Shaowei Wang, Jiachun Du, Wei Yang, Xinrong Diao, Zichun Liu, Yiwen Nie, Liusheng Huang, Hongli Xu

In this work, after theoretically quantifying the estimation error bound and the manipulating risk bound of the Laplace mechanism, we propose two mechanisms improving the usefulness and soundness simultaneously: the weighted sampling mechanism and the additive mechanism.

Decision Making Privacy Preserving