The department’s research in this area encompasses the study of computational techniques for preserving user privacy within insecure environments, including secure multiparty computation, private data storage, and private data release. We focus on the development of precise mathematical models, construction of protocols and study of computational limitations on the theoretical side, and building and evaluating secure systems on the applied side. Recent and current work focus on the following topics:

  • Computational aspects of homomorphic encryption and multiparty computation schemes
  • Secure data storage implementations
  • Privacy-utility tradeoffs in data release

Academic staff: BOGDANOV Andrej, LEE Pak Ching Patrick, TAO Yufei