Tighter Privacy Analysis for Truncated Poisson Sampling
Arun Ganesh
TL;DR
This paper presents a refined privacy amplification analysis for truncated Poisson sampling, a method that truncates large batches to improve privacy guarantees in data sampling processes.
Contribution
It introduces a novel privacy analysis specifically for truncated Poisson sampling, enhancing understanding of its privacy properties compared to previous methods.
Findings
Improved privacy bounds for truncated Poisson sampling
Enhanced understanding of privacy amplification effects
Potential applications in privacy-preserving data analysis
Abstract
We give a new privacy amplification analysis for truncated Poisson sampling, a Poisson sampling variant that truncates a batch if it exceeds a given maximum batch size.
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Taxonomy
TopicsSurvey Sampling and Estimation Techniques · HIV, Drug Use, Sexual Risk · Privacy-Preserving Technologies in Data