International Association
for Cryptologic Research

Research papers on new secure multi-party computation protocols

rarely confirm the need for the developed protocol with its end users.

One challenge in the way of such validation is that it is hard to explain

the benefits of secure multi-party computation to non-experts.

We present a method that we used to explain the application

models of secure multi-party computation to a diverse group of end users

in several professional areas. In these interviews, we learned that

the potential users were curious about the possibility of using

secure multi-party computation to share and statistically analyse

private data. However, they also had concerns on how the new

technology will change the data analysis processes.

Inspired by this, we implemented a secure multi-party

computation prototype that calculates statistical functions in the same way as

popular data analysis packages like R, SAS, SPSS and Stata.

Finally, we validated the practical feasibility of this application by conducting

an experimental study that combined tax records with education records.