PRIVV: Private remote iris-authentication with Vaulted Verification

Iris biometrics are one of the strongest modalities in terms of performance, and as such, are used in several high-security scenarios. However, remote/network authentication creates its own class of problems that have not previously been considered. In this work, we adapt Vaulted Verification, a novel remote matching protocol, to work with iris biometrics in a network authentication setting. We give an overview of how Vaulted Verification works and show how to adapt it to the unique challenges of iris biometrics. We then investigate the algorithm's security and evaluate its performance, showing that Vaulted Verification is among the top-performing template protection algorithms for the CASIAv1 dataset. We conclude with a summary and ideas for future work.