Data Works MD October 2021 – https://www.meetup.com/DataWorks/events/280714686
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Slides – https://www.slideshare.net/DataWorksMD/enabling-crossboundary-data-science-with-privacy-enhancing-tech
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Enabling Cross-Boundary Data Science with Privacy Enhancing Technologies
Recent breakthroughs in Privacy Enhancing Technologies (PETs) have made it possible to build systems that can keep data encrypted for the entire processing lifecycle. These advances can uniquely enable data scientists to operate on data sets that they otherwise wouldn’t be able to access due to an organizational “boundary,” such as a security classification or regulatory barrier. This talk will provide a brief introduction to PETs and a detailed walk-through of two algorithms that leverage PETs for data science use cases.
Speaker
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Ryan Carr serves as CTO and VP of Engineering at Enveil, the pioneering Privacy Enhancing Technology company protecting Data in Use. With experience in leading engineering efforts at institutions such as the Johns Hopkins University Applied Physics Laboratory, Ryan’s fields of expertise include large scale analytic systems, distributed algorithms, artificial intelligence, game theory and social learning, and applying cloud computing techniques to simulate and analyze complex interactions among large numbers of autonomous agents. His research in these areas has been published in highly competitive venues such as Proceedings of the Royal Society, AAAI, and AAMAS. Ryan holds a PhD/BS in Computer Science. Ryan can be reached on Twitter at @jryancarr
https://www.youtubepp.com/watch?v=1iyKi8zZi80
https://www.youtube.com/watch?v=1iyKi8zZi80
