Researchers released the Reality Perception Gap (RPG) benchmark, which adds repost compression and camera artifacts to 10,000 AI‑generated and edited videos. Testing 18 existing deep‑fake detectors on this set, none identified more than 15% of fake videos while keeping false alarms below 1%. The study says the drop comes from two sources: the shift in content and generator style before compression, and the loss of low‑level traces after compression. The authors suggest future detectors need training on such degraded data and should combine low‑level, temporal, and semantic clues.
Why it matters
Law enforcement and platforms may miss most deep‑fake videos that have been re‑uploaded, limiting their ability to curb misinformation.
