A Simple and Practical Algorithm for Differentially Private Data Release

Part of Advances in Neural Information Processing Systems 25 (NIPS 2012)

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Authors

Moritz Hardt, Katrina Ligett, Frank Mcsherry

Abstract

We present a new algorithm for differentially private data release, based on a simple combination of the Exponential Mechanism with the Multiplicative Weights update rule. Our MWEM algorithm achieves what are the best known and nearly optimal theoretical guarantees, while at the same time being simple to implement and experimentally more accurate on actual data sets than existing techniques.