Projektis uuritakse viise turvaliste ühisarvutuste kiirendamiseks nende rakendamisega seotud praktiliste asjaolude abil.
In this project, we will bring the techniques and tools for Secure Multiparty Computation (SMC) to a level where they can be applied to decisional and computational problems of practical size in several different social and economic sectors. To achieve this, we will apply a multi-pronged research effort to build the theoretical foundations for the practical aspects of SMC application. Our project will combine the identification of a representative set of computational problems, the development of appropriate cryptographic and other tools for solving those problems in a privacy-preserving manner, the study of incentives of various parties to participate in privacy-preserving computations, and the exploration of practical limits and trade-offs in the deployment of SMC solutions. All these research areas will be explored in tight cooperation, as advances in any of them will shift priorities in all other areas. Through the integrated effort we hope to build a framework that allows us to place any multiparty computation problem in the appropriate context and to see whether and how the privacy issues in this problem can be mitigated.