View source for Distributed, Private, Sparse Histograms in the Two-Server Model: abstract simplified (18297084)

*This abstract for appeared for patent application  number 18297084 Titled 'Distributed, Private, Sparse Histograms in the Two-Server Model'

==Simplified Explanation==

The abstract describes systems and methods for calculating sparse, (ε, δ)-differentially private histograms using a two-server model of secure multi-party computation. These protocols allow two servers to compute histograms over data from multiple users without colluding, while also maintaining the privacy of the data.


==Original Abstract Submitted==

Provided are systems and methods for the computation of sparse, (ε, δ)-differentially private (DP) histograms in the two-server model of secure multi-party computation (MPC). Example protocols enable two semi-honest non-colluding servers to compute histograms over the data held by multiple users, while only learning a private view of the data.