Yann Issartel

On the privacy cost for dependent Gaussian data: spectral density estimation under local differential privacy

We study the fundamental problem of estimating the dependence structure of a centered stationary Gaussian process under local differential privacy (LDP). In this setting, the spectral density characterizes the dependence structure of the data and is the quantity to be estimated. Our main contribution is to close the op...