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Ran Gilad-Bachrach

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Low Latency Privacy Preserving Inference

Dec 27, 2018
Alon Brutzkus, Oren Elisha, Ran Gilad-Bachrach

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Modeling and Simultaneously Removing Bias via Adversarial Neural Networks

Apr 18, 2018
John Moore, Joel Pfeiffer, Kai Wei, Rishabh Iyer, Denis Charles, Ran Gilad-Bachrach, Levi Boyles, Eren Manavoglu

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Smooth Sensitivity Based Approach for Differentially Private Principal Component Analysis

Feb 28, 2018
Alon Gonen, Ran Gilad-Bachrach

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DART: Dropouts meet Multiple Additive Regression Trees

May 07, 2015
K. V. Rashmi, Ran Gilad-Bachrach

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Crypto-Nets: Neural Networks over Encrypted Data

Dec 24, 2014
Pengtao Xie, Misha Bilenko, Tom Finley, Ran Gilad-Bachrach, Kristin Lauter, Michael Naehrig

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Using Multiple Samples to Learn Mixture Models

Nov 28, 2013
Jason D Lee, Ran Gilad-Bachrach, Rich Caruana

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Optimal Distributed Online Prediction using Mini-Batches

Jan 31, 2012
Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin Xiao

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Robust Distributed Online Prediction

Dec 07, 2010
Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin Xiao

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Efficient Human Computation

Mar 05, 2009
Ran Gilad-Bachrach, Aharon Bar-Hillel, Liat Ein-Dor

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