Vinith Suriyakumar, Differentially Private Prediction in Health Care

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Centre for Ethics, University of Toronto

Vinith Suriyakumar discusses "Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings"

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Chasing Your Long Tails: Differentially Private Prediction in Health Care SettingsMachine learning has the potential to improve health care through its ability to extract information from data. Unfortunately, machine learning is susceptible to privacy attacks which leak information about the data it was trained on. This can have dire consequences in health care where protecting patient privacy is of the utmost importance. Differential privacy has been proposed as the leading technique to defend against privacy attacks and has had successful use by the US Census, Google, and Apple. This talk will present the challenges of using differentially private machine learning in health care and how future solutions might address them.This is an online event. It will be live streamed on the Centre for Ethics YouTube Channel on Wednesday, October 28. Channel subscribers will receive a notification at the start of the live stream. (For other events in the series, and to subscribe, visit YouTube.com/c/CentreforEthics.)Vinith SuriyakumarDepartment of Computer ScienceUniversity of Toronto

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Vinith Suriyakumar, Differentially Private Prediction in Health Care

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