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UID:20250919T122253EDT-5757RUdDDb@132.216.98.100
DTSTAMP:20250919T162253Z
DESCRIPTION:Join us for a ºÚÁϲ»´òìÈ School of Information Studies (SIS) Semina
 r Series talk on the challenges of computational privacy in the age of big
  data with guest speaker Dr. Reza Shokri\, Postdoctoral Researcher at the 
 Institute of Information Security\, Department of Computer Science\, ETH Z
 urich.  ABSTRACT Today\, data is the fuel of e-business. An increasing amo
 unt of data is being produced about individuals in their everyday interact
 ions with various technologies. New services are being introduced and new 
 businesses flourish by mining the rich flow of individuals' information ov
 er the Internet. Exciting services however come at a cost of users' privac
 y\, as their data might be used in contexts other than what the users agre
 e with. Moreover\, this bait is very attractive to governments and securit
 y agencies.  In this talk\, I will present two main challenges of computat
 ional privacy in the age of big data: consistent quantification and protec
 tion of privacy. I present a new privacy metric and a quantification frame
 work to effectively quantify privacy. I will also introduce a new methodol
 ogy to design optimal user-centric privacy protection mechanisms that find
  the right balance between privacy and data utility. In the end\, I will p
 resent these solutions in the context of location-based services\, as well
  as the technical methods to quantify and protect location privacy.  BIO  
 Reza Shokri is a postdoctoral researcher in the Institute of Information S
 ecurity\, Department of Computer Science\, ETH Zurich. Prior to this\, he 
 was a research assistant in the School of Computer and Communication Scien
 ces at EPFL\, where he received his PhD in March 2013. His research focuse
 s on quantitative analysis of privacy and design of privacy-preserving sch
 emes\, for location-based services\, recommender systems\, web\, and genom
 ics. His work on quantifying location privacy was recognized as a runner-u
 p for the annual Award for Outstanding Research in Privacy Enhancing Techn
 ologies (PET Award) 2012. More information: http://www.shokri.org  Everyon
 e welcome. Please arrive early to secure a seat. 
DTSTART:20140314T160000Z
DTEND:20140314T170000Z
LOCATION:CA\, School of Information Studies\, 3661 Peel\, Rm. 106\, Montrea
 l
SUMMARY:SIS Seminar Series: 'Computational Privacy: Two Fundamental Problem
 s.' Guest Speaker Dr. R. Shokri
URL:/sis/channels/event/sis-seminar-series-computation
 al-privacy-two-fundamental-problems-guest-speaker-dr-r-
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