Detecting synthetic media is an arms race — as generators get better at hiding artifacts, detectors have to combine more independent forensic signals to keep up.
P(detected) = sensitivity - artifact_subtlety
accuracy tracked over rolling window
- Detector nodes — specialist detectors each checking a different forensic signal (blink rate, lighting, compression).
- Detector network density — how much detectors cross-check each other's verdicts before a final flag.
- Artifact subtlety — how well-hidden the generator's synthetic artifacts are.
- Detector sensitivity — how aggressively the ensemble flags a frame as likely synthetic.
Real deepfake-detection tools like Microsoft's Video Authenticator run exactly this kind of multi-signal detector ensemble, because no single forensic tell is reliable alone.