benchmarks evals
The Deepfake Detector Finds Provenance, Not Pulse
High-frequency video artifacts explain a near-perfect physiological-looking signal in a controlled audit.
Summary
High-frequency video artifacts explain a near-perfect physiological-looking signal in a controlled audit.
The study finds that simple chrominance traces separate talking-face forgeries extremely well, but controlled tests place the signal outside the heart-rate band and show it in backgrounds and whole frames. Cross-dataset failures and overlapping identities further indicate that several detectors learn source-video provenance rather than a cardiac cue.
Why it matters
High-frequency video artifacts explain a near-perfect physiological-looking signal in a controlled audit.
Limits and context
No additional limitation was separately recorded.
Key claims
High-frequency video artifacts explain a near-perfect physiological-looking signal in a controlled audit.
Evidence: source-2026-11-12-020
Sources
- arXiv:2611.13992v1arXiv / Cornell University · primary research
Corrections
No corrections have been recorded for this story.