Technology Webinar | Online: Enabling Cross-Boundary Data Science with Privacy Enhancing Tech

20 Oct 2021 3:30 AM 1 hour 30 minutes

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Data Works MD

Technology Expert

About this Webinar


This is a FREE WEBINAR on Technology

Schedule : Oct 20th 2021 Time: 3:30 am IST

Is this a LIVE WEBINAR : yes, this will be a live webinar

Is this an ONLINE WEBINAR : yes, you can attend this webinar online by clicking on the Button "Go To Event"

About the Speakers : 

Data Works MD


About the Event :

As data protection becomes more important, it becomes more and more challenging to easily work with such data. How do you both secure data while making it accessible? With homomorphic encryption, users can do just that. Join us in October to hear from one of the leaders in data protection on how data scientists can work with encrypted data.



6:00 PM -- Greetings

6:05 PM -- Enabling Cross-Boundary Data Science with Privacy Enhancing Technologies - Ryan Carr

7:30 PM -- Closings



Zoom and YouTube Streaming

A link will be sent out prior to the event. Please note that Zoom is capped at 100, so if you do not get into Zoom, you will be able to watch via YouTube.



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.



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



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