Generating Privacy-Preserving Faces for Multi-Party Secure Authentication

This research proposes a framework for authenticating people based on their faces while protecting their facial privacy in systems like smart building access. The system uses homomorphic encryption (a technique that lets computers perform calculations on encrypted data without decrypting it first) and a multi-party secure authentication process, where multiple parties verify identity together rather than relying on a single trusted server, to prevent privacy breaches and single points of failure.