Privacy-Aware Video Anomaly Detection through Orthogonal Subspace Projection

ArXi:2605.08651v1 Announce Type: cross Video anomaly detection (VAD) systems often prioritize accuracy while overlooking privacy concerns, limiting their suitability for real-world deployment. We propose the Orthogonal Projection Layer (OPL), a lightweight module that removes task-irrelevant variations to produce representations focused on anomaly-relevant cues. To address privacy risks in human-centered scenarios, we