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An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm
Overall, by combining the sensitivity and utility characterization, we obtain an end-to-end differentially private spectral algorithm for LDA and identify the corresponding configuration that outperforms others in any specific regime.
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