Additive Secret Sharing

Dr. Azer Bestavros is a computer science professor at Boston University who does research using the supercomputers at MGHPCC. Some of his research is on Additive Secret Sharing which is a way to share parts of data without giving up data privacy.

For example, the city of Boston uses his research to have major employers in the city share payroll information without giving up private data to track the gender and race wage gap in the city.

How does Additive Secret Sharing Work

Each employer or individual reports just shares or parts of their private data with different servers. We can then combine the total data from each server to calculate results without knowing the individual parts.

For more information, about Dr. Azer Bestavros' research, see the following: