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Specialized tools for seeing through blur and pixelation have been popping up throughout this year, like the Max Planck Institute's work on identifying people in blurred Facebook photos. The attack uses Torch (an open-source deep learning library), Torch templates for neural networks, and standard open-source data. "Just take a bunch of training data, throw some neural networks on it, throw standard image recognition algorithms on it, and even with this approach…we can obtain pretty good results." To build the attacks that identified faces in YouTube videos, researchers took publicly-available pictures and blurred the faces with YouTube's video tool.