Private Algorithms Can Always Be Extended

Abstract
We consider the following fundamental question on -differential privacy. Consider an arbitrary -differentially private algorithm defined on a subset of the input space. Is it possible to extend it to an -differentially private algorithm on the whole input space for some comparable with ? In this note we answer affirmatively this question for . Our result applies to every input metric space and space of possible outputs. This result originally appeared in a recent paper by the authors [BCSZ18]. We present a self-contained version in this note, in the hopes that it will be broadly useful.
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