Differential Privacy and Robust Statistics

We show by means of several examples that robust statistical estimators present an excellent starting point for differentially private estimators. Our algorithms use a new paradigm for differentially private mechanisms, which we call Propose-Test-Release (PTR), and for which we give a formal definition and general composition theorems.

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In  Proceedings of the 41th Annual ACM Symposium on Theory of Computing (STOC)

Publisher  Association for Computing Machinery, Inc.
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TypeInproceedings
AddressBethesda, Maryland
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