Privacy in Statistical Analysis
Joint meeting of the Emerging Applications Section of the Royal Statistical Society and the Statistics section, Imperial College London
Wednesday 3rd May 2017, 0930-1800
Lecture Theatre 140, Huxley Building, Department of Mathematics, Imperial College London
http://wwwf.imperial.ac.uk/~nadams/events/ic-rss2017/ic-rss2017.html
Description:
Recent years have seen the idea of Big Data come to prominence: the collection and analysis of very large data sets, used in a wide range of application areas. Many such data sets, in their raw form, contain personal or sensitive information about individuals, raising privacy concerns. These concerns have given rise to new topics in statistical methodology. which aim to combat this issue. This workshop takes the opportunity to take a wide view on all aspects of privacy and security in statistics. At present, differential privacy is probably the largest area to tackle these questions and is quite established, but there are other complementary relevant emerging areas.
This full day workshop, organised jointly between the Emerging Applications Section of the Royal Statistical Society and the Statistics section, Imperial College London, will cover the following areas.
• Differential privacy for preserving data privacy in the outputs of analysis
• Issues around anonymity and anonymisation of raw data
• Cryptographic security using recent encryption schemes with homomorphic properties
• Building statistical models encrypted
We welcome attendees from academia, industry and governmental organisations.
This event is co-organised by:
• the Emerging Applications section of the Royal Statistical Society
• the Statistics section, Department of Mathematics, Imperial College London
Additionally, we are very grateful for sponsorship from the Data Science Institute, Imperial College London.
Schedule:
09:30-09:45 Registration
09:45-10:30 Louis Aslett, "TBC"
10:30-11:00 Coffee
11:00-11:45 Pedro Esperanca, "TBC"
11:45-12:30 Borja de Balle, "Secure Multi-Party Linear Regression on High-Dimensional Data"
12:30-13:30 Lunch
13:30-14:15 Yves-Alexandre De Montjoye, "Computational Privacy: The privacy bounds of human behavior"
14:15-15:00 Joseph Bureau, "TBC"
15:00-15:30 Coffee
15:30-16:15 Chris Skinner, "Differential Privacy from the Perspective of Statistical Disclosure Control"
16:15-17:00 Emiliano De Cristofaro, "Building and Measuring Privacy-Preserving Mobility Analytics"
Registration:
The event is open to all, and there is no registration fee. However, for catering purposes, please register at http://wwwf.imperial.ac.uk/~nadams/events/ic-rss2017/registration.html
Directions:
Travel information may be found at http://wwwf.imperial.ac.uk/~nadams/events/ic-rss2017/venue.html
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