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