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Privacy Preserving Predictions

March 28, 2019 @ 6:00 pm - 7:30 pm UTC+0

>You are cordially invited to attend the upcoming FRE Lecture on Thursday, March 28th at 6PM in the Event MakerSpace – Rogers Hall, 1st Floor. Dr. Antigoni Polychroniadou will present a talk on the following topic:

Title: 

Privacy Preserving Predictions

Thursday, March 28, 2019 at 6:00pm – 7:30pm

Event MakerSpace
6 MetroTech Center, 1st floor
Brooklyn, NY 11201

While big data technology offers great promise, it introduces a challenge for privacy. Can we achieve the best of both worlds, extracting the benefits that big data offers while providing privacy to the data owner? Essentially, we would like to perform complex computations while preserving privacy. In this talk I am going to talk about privacy preserving computation and show how cryptography, streaming data and machine learning can support new ways of organizing predictive analytics.

Antigoni Polychroniadou is a researcher at J.P. Morgan AI research and cryptographer lead in ROAR Data. Antigoni was a junior Simons fellow, awarded by the Simons Society of Fellows, at Cornell Tech and a postdoctoral researcher in the Computer Science Department at Cornell University, hosted by Rafael Pass and Elaine Shi. Antigoni completed her Ph.D. at Aarhus University under the supervision of Ivan Damgård. She interned at IDC Herzliya, the Technion, University of California, Berkeley and IBM Research Thomas J. Watson. She holds an M.Sc. in mathematics of cryptography and communications from Royal Holloway University of London and B.Sc. in Computer Science and Economics from University of Macedonia, Greece. 

We look forward to having you join us next Thursday for the talk and refreshments. See attached poster for more details. Please mark your calendars.

Details

Date:
March 28, 2019
Time:
6:00 pm - 7:30 pm UTC+0

Venue

MakerSpace
6 MetroTech Center, 1st Floor
Brooklyn, NY 11201 United States
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Collaborative events organized by Bloomberg LP, Global Risk Institute, Cornell Financial Engineering Manhattan, International Association of Quantitative Finance (IAQF), NYU Courant Institute of Mathematical Sciences, and NYU Tandon School of Engineering.