Individual Differential Privacy

Add to your list(s) Download to your calendar using vCal

• Josep Domingo-Ferrer (Universitat Rovira i Virgili ); Jordi Soria-Comas (Universitat Rovira i Virgili )
• Thursday 08 December 2016, 10:15-11:00
• Seminar Room 1, Newton Institute.

If you have a question about this talk, please contact INI IT.

DLAW03 - New developments in data privacy

Differential privacy is well-known because of the strong privacy guarantees it offers: the results of a data analysis must be indistinguishable between data sets that differ in one record. However, the use of differential privacy may limit the accuracy of the results significantly. Essentially, we are limited to data analyses with small global sensitivity (although some workarounds have been proposed that improve the accuracy of the results when the local sensitivity is small). We introduce individual differential privacy (iDP), a relaxation of differential privacy that: (i) preserves the strong privacy guarantees that differential privacy gives to individuals, and (ii) improves the accuracy of the results significantly. The improvement in the accuracy comes from the fact that the trusted party does a more precise assessment of the risk associated to a given data analysis. This is possible because we allow the trusted party to take advantage of all the available information, namely the actual data set.

This talk is part of the Isaac Newton Institute Seminar Series series.

This talk is included in these lists:

• All CMS events
• Cambridge Centre for Data-Driven Discovery (C2D3)
• Cambridge talks
• Chris Davis' list
• Featured lists
• INI info aggregator
• Interested Talks
• Isaac Newton Institute Seminar Series
• School of Physical Sciences
• Seminar Room 1, Newton Institute
• Trust & Technology Initiative - interesting events
• bld31
• ndk22's list
• ob366-ai4er
• rp587

Note that ex-directory lists are not shown.