UaESMC published reports giving an overview of first year progress
- We have selected the research problems that turned
up most often in the interviews reported in D1.2, and would be, according to
those interviews, the most helpful to the society if they get solved.
- We have proposed an API for privacy-preserving statistical analysis and have implemented several parts of it on top of SMC frameworks.
- We have proposed the notion of strong truthfulness for achieving composability in mechanism design, and also shown how to achieve this kind of strong property.
- We have made several advances in privacy-preserving optimization. We have studied the behavior and worked out the implementation details for genetic algorithms implemented on top of Sharemind. We have also proposed a method for privacy-preserving linear programming that strives to join the good sides of SMC-based and problem transformation based approaches.
The work on all these topics will continue in the second and third year of the project, culminating in a single coherent body of knowledge on how to run privacy-preserving computations in practice. The coordinator is grateful to all participants of the project for the efforts they have made.
Published deliverables are available on our website: