Friday, Feb. 24th, ECE Seminar, room EE240: "Data Privacy: How to Survive the Inference Avalanche" by Dr. Reza Shokri, Cornell

SEMINAR ANNOUNCEMENT

Title: Data Privacy: How to Survive the Inference Avalanche

By: Reza Shokri, Ph.D.

Time: -10:30AM Friday, February 24th, 2017

Place: EE240

Abstract:
Underestimating the power of inference attacks is the major reason why data privacy mechanisms fail. In
this talk, I will describe my general approach to quantifying privacy and illustrate its applications by
showing how to rigorously measure privacy risks of location data and machine-learning models. I will
then discuss my current research at the junction of privacy and data science in an important practical
scenario: generating privacy-preserving synthetic data while preserving utility of real data.

Biography:
Dr. Reza Shokri is a postdoctoral researcher at Cornell Tech. His research focuses on quantitative
analysis of privacy, as well as design and implementation of privacy technologies for practical
applications. His work on quantifying location privacy was recognized as a runner-up for the Award for
Outstanding Research in Privacy Enhancing Technologies (PET Award). Recently, he has focused on
privacy-preserving generative models and privacy in machine learning. He received his PhD from EPFL