Supplementary Materials Di erentially Private Samplingfrom Distributions

Neural Information Processing Systems 

If A is (",0)- di erentiallyprivate, thenA is " Yis (", )- di B : Y anyrandomB Ais (", )- di erA is thenthealgoB Ais - z CDP. Proof.Algorithm1 isthedesiredsamplerAPo.Itis (", ) - di erentiallyprivatesinceA is (", ) - di erentially private.

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