Analyzing Data while Protecting Privacy – A Differential Privacy Case Study

Abstract Analysis and sharing of aggregate data (e.g., number of users whose favorite color is blue) is crucial to understanding patterns of the population being studied. The problem is that even summary data can expose the individuals who make up this information. Therefore, we are studying the use of privacy preserving data analysis techniques that will protect the individual and allow analysts to understand general trends. We believe that while there are unique perturbations of the data with these techniques, analysts will be able to use the data and protect the users at the same time. The case study involves…

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SQLCAT tracks at 2007 SQL PASS

As you may already know from Brian Moran’s SQL Server Magazine article "SQLCAT to Offer Six Sessions at PASS", the SQLCAT team will be providing 6 SQLCAT tracks at the 2007 SQLPASS event in Denver this year.   As of today’s schedule, below are the SQLCAT tracks schedule:   Wednesday, September 19th 9:45am-11:00amDBA-410-MDesigning for Petabyte using Lession Learned from Customer ExperiencesLubor Kollar, Microsoft; Kevin Cox, MicrosoftKorbel 1C/1D   Wednesday, September 19th 1:30pm-2:45pmDBA-411-MBuilding High Performance Microsoft SQL Systems Using Lessons Learned From Customer DeploymentsMichael Thomassy, Microsoft; Burzin Patel, MicrosoftKorbel 2A/2B   Thursday, September 20th 9:45am-11:00amDBA-412-MISV Configuration & Implementation using Lessons Learned from Customer DeploymentsJuergen Thomas,…

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