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Design of Stochastic Quantizers for Privacy Preservation
March 6, 2024, 5:11 a.m. | Le Liu, Yu Kawano, Ming Cao
cs.CR updates on arXiv.org arxiv.org
Abstract: In this paper, we examine the role of stochastic quantizers for privacy preservation. We first employ a static stochastic quantizer and investigate its corresponding privacy-preserving properties. Specifically, we demonstrate that a sufficiently large quantization step guarantees $(0, \delta)$ differential privacy. Additionally, the degradation of control performance caused by quantization is evaluated as the tracking error of output regulation. These two analyses characterize the trade-off between privacy and control performance, determined by the quantization step. This …
arxiv control cs.cr cs.sy delta design differential privacy eess.sy large performance preservation privacy role
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