Knowledge Priors for Identity-Disentangled Open-Set Privacy-Preserving Video FER

ArXi:2603.21387v1 Announce Type: new Facial expression recognition relies on facial data that inherently expose identity and thus raise significant privacy concerns. Current privacy-preserving methods typically fail in realistic open-set video settings where identities are unknown, and identity labels are unavailable. We propose a two-stage framework for video-based privacy-preserving FER in challenging open-set settings that requires no identity labels at any stage.