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What and Who
Title:Towards Use-Ability in Private Data Analytics
Speaker:Reinhard Munz
coming from:Max Planck Institute for Software Systems
Speakers Bio:
Event Type:SWS Student Defense Talks - Thesis Proposal
Visibility:SWS
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Level:Public Audience
Language:English
Date, Time and Location
Date:Friday, 4 August 2017
Time:13:30
Duration:60 Minutes
Location:Kaiserslautern
Building:G26
Room:111
Abstract
Private data analytics systems preferably provide required analytic accuracy to analysts and specified privacy to individuals whose data is analyzed. Devising a general system that works for a broad range of datasets and analytic scenarios has proven to be difficult.
Despite the advent of differentially private systems with proven formal privacy guarantees, industry still uses their inferior ad-hoc predecessors that are able to provide better analytic accuracy. Differentially private mechanisms often need to add large amounts of noise to statistical results, which impairs their use-ability.
In my thesis I follow two approaches to improve use-ability of private data analytics systems in general and differentially private systems in particular. First, I revisit ad-hoc mechanisms and explore the possibilities of systems that do not provide Differential Privacy or only a weak version thereof. In my second approach I use the insights gained before to propose UniTraX, the first differentially private analytics system that allows to analyze part of a protected dataset without affecting other parts and without having to give up on guaranteed accuracy.
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Video Broadcast
Video Broadcast:YesTo Location:Saarbr├╝cken
To Building:E1 5To Room:105
Meeting ID:
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Created:
Maria-Louise Albrecht/MPI-KLSB, 07/31/2017 03:58 PM
Last modified:
Maria-Louise Albrecht/MPI-KLSB, 07/31/2017 04:05 PM
  • Maria-Louise Albrecht, 07/31/2017 04:05 PM -- Created document.