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Private Data Analysis over Large Populations

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If you have a question about this talk, please contact Ben Karniely .

Many applications in modern computing (AI, ML and data science) rely on the data from many individuals. However, this data is often sensitive, and needs to be handled under strong guarantees of privacy and security. I’ll discuss a range of approaches that can be used at scale to gather statistics and build models of data while ensuring the strong guarantees are met. These combine techniques from differential privacy, federated learning, and cryptography.

Link to join virtually: https://cam-ac-uk.zoom.us/j/81322468305

A recording of this talk is available to members of the University at the following link: https://www.cl.cam.ac.uk/seminars/wednesday/video/

This talk is part of the Wednesday Seminars - Department of Computer Science and Technology series.

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