2026-10-10T22:21:25Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34028142 2026-09-29T22:42:10Z category_35651 category_35549 portal_1005 item_type_14 month_year_09_2026

EVA: An Event-Conditioned Framework for Privacy-Preserving Face Authentication Services Y Zhang (5998940) Xiao Liu (13082469) H Zhang (2942076) X Li (4169308) J Xu (6794354) Frank Jiang (13070274) Cybersecurity and privacy Information and computing sciences Uncategorised value Face authentication, as a widely deployed biometric service, suffers from privacy leakage risks caused by the exposure and persistent storage of facial features. However, existing face anonymization methods mainly focus on imagelevel de-identification and do not fully support stable repeated authentication in a protected identity space. This paper presents EVA, an event-conditioned framework for privacy-preserving face authentication services. EVA treats an event as a servicescoped diversification factor and combines it with a userheld key to bind face-derived representations to an eventspecific virtual identity. During enrollment and verification, EVA performs identity processing, biometric stabilization, event-key binding, and cancelable template generation, followed by cloudside virtual identity issuance and protected-domain matching. Preliminary experiments with off-the-shelf recognizers show that EVA suppresses original identity cues while maintaining withinevent consistency for repeated verification. Event or key rotation changes the issued virtual identity, supporting revocable reissuance and reducing cross-event linkage. We further discuss client-side protection, threshold selection, exposure scenarios, and service-level evaluation as future work.<p></p> 2026-01-01T00:00:00Z Text Conference contribution 10.26187/deakin.34028142 https://figshare.com/articles/conference_contribution/EVA_An_Event-Conditioned_Framework_for_Privacy-Preserving_Face_Authentication_Services/34028142 All Rights Reserved Restricted Access