Bingyue Su
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Lab White Paper
Inference From the Data: Protect Privacy When Releasing Results
By: Bingyue Su
Su develops the privacy-preserving version of Metropolis-Hastings (MH), a widely used sampling algorithm in statistics, and finds that the privatized algorithm maintains good data utility in finance and simulated data sets with formal privacy guarantees.