For finite discrete distributions, a recursive mechanism that preserves the public prior is exactly minimax optimal for every f-divergence, and reduces to randomized response when the prior is uniform.
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Locally Private Sampling with Public Data
For finite discrete distributions, a recursive mechanism that preserves the public prior is exactly minimax optimal for every f-divergence, and reduces to randomized response when the prior is uniform.