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American Focus > Blog > Tech and Science > Deepfake makers can now evade an unusual detection method
Tech and Science

Deepfake makers can now evade an unusual detection method

Last updated: May 1, 2025 1:15 am
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Deepfake makers can now evade an unusual detection method
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New Scientist. Science news and long reads from expert journalists, covering developments in science, technology, health and the environment on the website and the magazine.

Some deepfake videos present a convincing pulse

Alamy Stock Photo

Deepfake videos have become increasingly sophisticated, with the ability to manipulate facial expressions, voices, and now even realistic heartbeats, making them more challenging to detect, according to recent research.

Researchers at the University of California, Berkeley, including Hany Farid, have uncovered that some deepfake videos can accurately depict a pulse, blurring the line between real and fake content. This poses a significant threat as deepfakes are being used in various malicious ways, such as creating fake pornography, financial scams, and spreading political propaganda.

Peter Eisert and his team at the Fraunhofer Institute for Telecommunications in Germany developed a deepfake detector that analyzes the pulses of individuals in both genuine and deepfake videos. By recording participants’ heart rates while capturing their facial expressions, the researchers were able to test the accuracy of their detector.

Surprisingly, the detector was unable to distinguish between genuine videos and those with digitally altered faces, indicating that some deepfake generators can replicate physiological signals like pulse rates effectively.

While researchers are exploring new techniques to identify deepfakes, such as analyzing local blood flow patterns in faces, the rapid advancement of generative AI tools poses a challenge. Siwei Lyu from the University at Buffalo notes that detecting subtle differences between genuine and deepfake videos, like image pixel brightness, remains crucial in combating this technology.

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See also  AI Detects an Unusual Detail Hidden in a Famous Raphael Masterpiece : ScienceAlert
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