Smooth Sensitivity Based Approach for Differentially Private Principal Component Analysis

Gilad-Bachrach Ran
Gilad-Bachrach Ran
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Abstract:

Currently known methods for this task either employ the computationally intensive \emph{exponential mechanism} or require an access to the covariance matrix, and therefore fail to utilize potential sparsity of the data. The problem of designing simpler and more efficient methods for this task has been raised as an open problem in \cite{...More

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