Distributed Differential Privacy By Sampling
Cryptography and Security
2017-06-16 v1
Abstract
In this paper, we describe our approach to achieve distributed differential privacy by sampling alone. Our mechanism works in the semi-honest setting (honest-but-curious whereby aggregators attempt to peek at the data though follow the protocol). We show that the utility remains constant and does not degrade due to the variance as compared to the randomized response mechanism. In addition, we show smaller privacy leakage as compared to the randomized response mechanism.
Cite
@article{arxiv.1706.04890,
title = {Distributed Differential Privacy By Sampling},
author = {Joshua Joy},
journal= {arXiv preprint arXiv:1706.04890},
year = {2017}
}
Comments
arXiv admin note: substantial text overlap with arXiv:1703.07949