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<div><font color="#000000">Researchers at Binghamton University
developed a utility called<i> FakeCatcher</i> that can spot deepfake
videos by detecting the presence of a heartbeat on a person's
face.</font></div>
<div><font color="#000000"><br>
>From IEEE Spectrum:<br>
<br>
In particular, video of a person's face contains subtle shifts in
color that result from pulses in blood circulation. You might imagine
that these changes would be too minute to detect merely from a video,
but viewing videos that have been enhanced to exaggerate these color
shifts will quickly disabuse you of that notion.<br>
https://www.youtube.com/watch?time_continue=4&v=ONZcjs1Pjmk&f<span
></span>eature=emb_logo<br>
This phenomenon forms the basis of a technique called
photoplethysmography, or PPG for short, which can be used, for
example, to monitor newborns without having to attach anything to a
their very sensitive skin.<br>
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308706/<br>
Deep fakes don't lack such circulation-induced shifts in color, but
they don't recreate them with high fidelity. The researchers at SUNY
and Intel found that "biological signals are not coherently
preserved in different synthetic facial parts" and that
"synthetic content does not contain frames with stable PPG."
Translation: Deep fakes can't convincingly mimic how your pulse shows
up in your face.</font><br>
<font color="#000000"></font></div>
<div><font
color="#000000"
>https://spectrum.ieee.org/tech-talk/computing/software/blook-circula<span
></span>tion-can-be-used-to-detect-deep-fakes<br>
</font></div>
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