Web: http://arxiv.org/abs/2211.01138

Nov. 22, 2022, 2:20 a.m. | Meifan Zhang, Sixin Lin, Lihua Yin

cs.CR updates on arXiv.org arxiv.org

Sketches are widely used for frequency estimation of data with a large
domain. However, sketches-based frequency estimation faces more challenges when
considering privacy. Local differential privacy (LDP) is a solution to
frequency estimation on sensitive data while preserving the privacy. LDP
enables each user to perturb its data on the client-side to protect the
privacy, but it also introduces errors to the frequency estimations. The hash
collisions in the sketches make the estimations for low-frequent items even
worse. In this …


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