If you’ve attended any of the recent Black Lives Matter protests, there’s a good chance you’ve been caught on camera. And if your image has been shared on social media, it could end up in a facial recognition database used by police. Computer scientists have tried to mitigate this threat by using blurring and pixelation techniques to hide the faces of demonstrators. But these masking methods can’t always protect protestors from facial recognition; machine learning methods can decode and unblur the images to reveal their concealed face. These concerns led Stanford Machine Learning researchers to develop a new anonymization tool: the BLMPrivacyBot. Instead of blurring…
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