His project Trading Security for Efficiency in Secure Computation seeks to explore new security relaxations, and new methods of utilizing existing security relaxations, in order to help scale secure computation to larger volumes of data, and a larger number of participating parties. The investigators envision a fully decentralized data plane in which user data is accessible by service providers only at the discretion of the data owner. Computations performed on this data would be subject to appropriate user-specified controls, and the results of the computations would reveal only what is minimally necessary to meet the goals of the data owner. Service providers could still monetize the data, but without ever seeing it, and only with the explicit agreement of the owner.
Checkout this article posted on VSE NEWS:
Computer science researcher investigates new ways of computing on encrypted data https://shar.es/a3Q1wx