FAOSPA: Frequency-Adaptive Orthogonal Spatiotemporal Perturbation Attack for Exploiting Vulnerabilities in Video Anomaly Detection

Researchers created FAOSPA, an attack method that exploits weaknesses in video anomaly detection (VAD, systems that automatically identify unusual events in surveillance footage) by manipulating the frequency domain (the mathematical representation of signals broken down by their different oscillation rates). The attack severely degrades VAD system performance, reducing detection accuracy from 91% to 34% with minimal changes to video data, and the researchers emphasize that stronger defenses are urgently needed.