Differential Privacy and Survey Sampling
Differential Privacy and Survey Sampling
The Horvitz-Thompson estimate of a total can be seen as as differentially private mechanism applied to this population total. We provide forumlae to compute the $\epsilon$ and $\delta$ parameter for this specific mecanism, coupled or not coupled with the addition of a Laplace or a Gaussian noise. This allows to determine the scale of the Laplace privacy mechanism to be added to reach a specified level of privacy, expressed in terms of $\epsilon,\delta$ differential privacy. In particular, we provide simple formulae for the special case of simple random sampling on binary data.
Daniel Bernard Bonnéry、Julien Jamme
计算技术、计算机技术
Daniel Bernard Bonnéry,Julien Jamme.Differential Privacy and Survey Sampling[EB/OL].(2025-06-17)[2025-07-23].https://arxiv.org/abs/2506.14620.点此复制
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