An Agentic ENF Framework for Forensic Video Authentication Against Generative AI

본문 미리보기

arXiv:2610.22440v1 Announce Type: new Abstract: Generative models now synthesise video that is hard to distinguish from genuine footage, and learned detectors that key on a generator's artefacts degrade sharply on unseen models. This paper develops a forensic framework that authenticates video by a signal that generation does not control: the electric network frequency (ENF), the mains-driven hum in audio and flicker in video. A unified two-channel detector extracts the ENF from audio and from