This project asks how two parties can compute a useful result without exposing the private inputs that produced it.
The protocol combines zero-knowledge proofs, oblivious transfer, fuzzy matching, and SimHash. A full-stack implementation makes the message flow and trust boundaries concrete in a recommendation workflow while keeping individual activity hidden from the service.
Paper ยท Repository