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Millions have taken to the streets across the world to protest the murder of George Floyd, an unarmed black man killed by a white police officer in Minneapolis last month.<\/p>\n
Protesters have faced both unprecedented police violence<\/a> and surveillance. Just this week, the Justice Department granted the Drug Enforcement Administration, an agency typically tasked with enforcing federal drug-related laws, the authority to “conduct covert surveillance” on civilians as part of the government’s efforts to quell the protests<\/a>. As one of the most tech savvy government agencies, it has access to billions of domestic phone records<\/a>, cell site simulators<\/a>, and, like many other federal agencies, facial recognition technology.<\/p>\n It’s in part because of this intense surveillance that protesters fear they could face retaliation.<\/p>\n But in the past week, developers have rushed to build apps and tools that let protesters scrub hidden metadata from their photos, and mask or blur faces to prevent facial recognition systems from identifying protesters.<\/p>\n Everest Pipkin built a web app that strips images of their metadata and lets users blur faces — or mask faces completely, making it more difficult for neural networks to reverse blurring. The web app runs entirely in the browser<\/a> and doesn’t upload or store any data. They also open-sourced the code<\/a>, allowing anyone to download and run the app on their own offline device.<\/p>\n i built a tool for quickly scrubbing metadata from images and selectively blurring faces and identifiable features. it runs on a phone or computer, and doesn’t send info anywhere.<\/p>\n process your images so that you and others are safe:https:\/\/<\/span>everestpipkin.github.io\/image-scrubber\/ <\/span><\/a><\/p>\n\n\n\n\n\n\n
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<\/a><\/p>\n\neverest<\/span><\/span>@everestpipkin<\/span><\/div>\n<\/div>\n\n <\/div>\n<\/div>\n<\/div>\n\n <\/div>\n
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