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Jeffrey F. Naughton

Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics

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Mar 23, 2017
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When Lempel-Ziv-Welch Meets Machine Learning: A Case Study of Accelerating Machine Learning using Coding

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Mar 01, 2017
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Revisiting Differentially Private Regression: Lessons From Learning Theory and their Consequences

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Dec 20, 2015
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