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Event

SIS Seminar Series: "Computational Privacy: Two Fundamental Problems." Guest Speaker Dr. R. Shokri

Friday, March 14, 2014 12:00to13:00
School of Information Studies, 3661 Peel, Rm. 106, Montreal, CA
Reza Shokri

Join us for a 成人VR视频 School of Information Studies (SIS) Seminar Series talk on the challenges of computational聽privacy in the age of big data with guest speaker聽Dr. Reza Shokri, Postdoctoral Researcher at the Institute of Information Security, Department of Computer Science, ETH Zurich.


ABSTRACT

Today, data is the fuel of e-business. An increasing amount of data is being produced about individuals in their everyday interactions with聽various technologies. New services are being introduced and new聽businesses flourish by mining the rich flow of individuals' information聽over the Internet. Exciting services however come at a cost of users'聽privacy, as their data might be used in contexts other than what the聽users agree with. Moreover, this bait is very attractive to governments聽and security agencies.

In this talk, I will present two main challenges of computational聽privacy in the age of big data: consistent quantification and protection聽of privacy. I present a new privacy metric and a quantification聽framework to effectively quantify privacy. I will also introduce a new聽methodology to design optimal user-centric privacy protection mechanisms聽that find the right balance between privacy and data utility. In the聽end, I will present these solutions in the context of location-based聽services, as well as the technical methods to quantify and protect聽location privacy.

BIO

Reza Shokri is a postdoctoral researcher in the Institute of Information Security, Department of Computer Science, ETH Zurich. Prior to this, he was a research assistant in the School of Computer and Communication Sciences at EPFL, where he received his PhD in March 2013. His research focuses on quantitative analysis of privacy and design of privacy-preserving schemes, for location-based services, recommender systems, web, and genomics. His work on quantifying location privacy was recognized as a runner-up for the annual Award for Outstanding Research in Privacy Enhancing Technologies (PET Award) 2012. More information:

Everyone welcome. Please arrive early to secure a seat.

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