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What and Who
Title:Towards Usability in Private Data Analytics
Speaker:Reinhard Munz
coming from:Max Planck Institute for Software Systems
Speakers Bio:
Event Type:SWS Student Defense Talks - Thesis Defense
Visibility:SWS
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Level:Public Audience
Language:English
Date, Time and Location
Date:Friday, 6 December 2019
Time:14:00
Duration:60 Minutes
Location:Kaiserslautern
Building:G26
Room:607
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.

Differentially private systems allow for proven formal privacy guarantees. To provide these guarantees, however, differentially private mechanisms often need to add large amounts of noise to statistical results, which impairs their usability. Thus, despite the advent of mechanisms with formal guarantees, industry still uses inferior ad-hoc mechanisms that provide better analytic accuracy.

In my thesis I follow two approaches to improve the usability 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. Based on an attack analysis, I devise a set of new protection mechanisms including Query Based Bookkeeping (QBB). In contrast to previous systems, QBB only requires the history of analysts’ queries in order to provide privacy protection, but does NOT require any knowledge about the protected individuals’ data.

In my second approach I use the insights gained with QBB to propose UniTraX, the first differentially private analytics system that allows analysts to analyze part of a protected dataset without affecting the other parts and without giving up on accuracy. I show UniTraX’s usability by way of multiple case studies on real-world datasets across different domains. In all cases I demonstrate that UniTraX allows more queries than previous differentially private data analytics systems at moderate runtime overheads.
Contact
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Video Broadcast
Video Broadcast:YesTo Location:Saarbrücken
To Building:E1 5To Room:005
Meeting ID:SWS Space 2 (6312)
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  • Maria-Louise Albrecht, 12/03/2019 11:02 AM -- Created document.