A Simple and Practical Algorithm for Differentially Private Data Release

Hardt, Moritz, Ligett, Katrina, Mcsherry, Frank

Neural Information Processing Systems 

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.

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