Research

Secure Multi-Party Computation for Collaborative Research Data Sharing

The lab is studying secure computation frameworks that allow multiple institutions to collaboratively analyze sensitive datasets without exposing raw data. Applications include healthcare research, financial analytics, and cross-institution cybersecurity intelligence sharing.