Deep-learning system can identify people whose faces have been pixelated or blurred

Everyone is familiar with the standard method for obscuring a person’s identity in a news article or video, which frequently involves blurring or pixelating their face to render them unrecognizable.The good news? They are still unrecognizable to the overwhelming majority of people. The bad news? They don’t fool modern computer science. That information is according to a new project carried out by researchers at the University of Texas at Austin and Cornell University, which used deep learning to correctly guess the redacted identities of people hidden by obfuscation. While human guessed redacted identities correctly 0.19 percent of the time, the machine learning system was able to make a correct judgment with 83-percent accuracy, when allowed five attempts. Related: A professor in China is using facial recognition to gauge student interest “Blurring…


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