Towards efficient malicious-secure multi-party private set union: Harnessing trusted execution environments

This research paper, published in June 2026, explores how to make multi-party private set union (a process where multiple parties combine datasets while keeping their individual data secret) more efficient and secure against malicious attacks. The authors propose using trusted execution environments (TEEs, hardware that protects code and data even from the computer's owner) to achieve this goal. The paper aims to balance computational efficiency with strong security guarantees when multiple parties need to collaborate while protecting sensitive information.