Webtool changes headshots just enough to trick face biometrics scrapers | WHAT REALLY HAPPENED X-Frame-Options: SAMEORIGIN

Webtool changes headshots just enough to trick face biometrics scrapers

Researchers say they have created software that protects social media posters from unwanted biometric surveillance. The evasion tool, called LowKey, reportedly fends off commercial facial recognition APIs by Amazon and Microsoft.

The computer scientists, from the University of Maryland and the U.S. Naval Academy, say Lowkey prevents facial recognition algorithms from matching harvested photos with new ones that might come from, for instance, surveillance cameras.

In a research paper yet to be peer reviewed, the authors claim LowKey can alter a posted image enough to throw face scrapers off the scent while maintaining a degree of resemblance to a person’s actual appearance that allows humans to make the connection.

Example images published in the paper demonstrate the perturbation. The effect resembles sub-par digital aging. Applying Gaussian smoothing to the image in pre-processing made the images look like those of people facing into a government wind tunnel.

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