PrivC—A Framework for Efficient Secure Two-Party Computation

Abstract

Secure Multiparty Computation (SMC) allows mutually distrusted parties to jointly evaluate a function on their private inputs without revealing anything but the output of the function. SMC has been extensively studied for decades by the research community and significant progresses have been made, both in the directions of computing capability and performance improvement. In this work, we design and implement PrivC, an efficient framework for secure two-party computing. Our design was based on arithmetic sharing, oblivious transfer, and garbled circuits. We demonstrate the efficiency of our design and implementation using benchmark datasets and real world applications at our organization. Evaluations have shown that PrivC outperforms several other competitive two-party frameworks.