News Highlight

Title: Data-driven concerns in Private Data Release

Speaker: Graham Cormode (AT&T Shannon Labs)

Time: 2:00pm-3:30pm
 
Location: Babbio Center 110
 
Abstract:

Many users are clamouring for privacy techniques so that they can publish, share or sell their data safely.  There are many aspects ofdata that then have to be managed: the data is often sparse, multi-dimensional, and structured.  Each of these requires mechanisms that are aware of these features, so that they provide output which is useful and efficient to compute, in addition to providing a privacy guarantee.  In this talk, I will outline some recent efforts to generate such practical mechanisms.
 
Bio:
 
Graham Cormode is a Principal Member of Technical Staff in the Database Management Group at AT&T Shannon Laboratories in New Jersey. Previously, he was a researcher at Bell Labs, after postdoctoral study at the DIMACS center in Rutgers University from 2002-2004. His PhD was granted by the University of Warwick in 2002. His work considers aspects of managing and working with large amounts of data, with particular emphasis on privacy and anonymization, and large scale analytics.