PhD thesis: “Privacy-preserving statistical analysis using secure multi-party computation”

liina_kamm_PhD_thesis

Linna Kamm PhD thesis: “Privacy-preserving statistical analysis using secure multi-party computation”
Defense date: 09.03.2015 – 16:15 to 17:45 (J. Liivi 2-404, Tartu, Estonia)

Thesis supervisor: Senior Research Fellow Sven Laur

Opponents:
PhD Rebecca N. Wright Rutgers University (USA)
PhD George Danezis University College London

Summary:
This work focuses on how to perform statistical analyses in a way that preserves the privacy of the individual. To achieve this goal, we use secure multi-party computation. This cryptographic technique allows data to be analysed without seeing the individual values. Even though using secure multi-party computation is a time-consuming process, we show that it is feasible even for large-scale databases.

Links:
http://www.ut.ee/en/events/liina-kamm-privacy-preserving-statistical-analysis-using-secure-multi-party-computation

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