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We have long relied upon simple image manipulation like blurring and pixelation to obscure sensitive information on the internet, but that may not work for much longer. Researchers from the University of Texas at Austin and Cornell Tech have developed a machine learning system that can identify faces and text in images with alarming accuracy. The researchers trained a neural network with images of faces and text and found it could often correctly identify the images again after they had been obfuscated with three different techniques -- YouTube's proprietary blur tool, standard mosaic pixelation, and the P3 algorithm. For some data sets, the neural network was able to correctly identify the YouTube blurred image with 80 or 90% accuracy.