AI that identifies pixelated & blurred faces easy for hackers to exploit – researchers
Security researchers are warning that commonly used visual redaction methods are no match for computer software which can identify blurred & pixelated images, unrecognizable to the human eye. Researchers at Cornell University and University of Texas at Austin trained artificial neural networks to successfully identify faces, objects and handwritten digits even if the images were protected by obfuscation techniques such as blurring, mosaicing or P3 – a type of JPEG encryption. What’s perhaps most worrying, however, is that they didn’t develop new advanced programming technology to do this but instead adapted mainstream machine learning methods to train the computer with a sample set of data. “The techniques we’re using in this paper are very standard in image recognition, which is a disturbing thought,” Vitaly Shmatikov, one of the authors from…
Link to Full Article: AI that identifies pixelated & blurred faces easy for hackers to exploit – researchers
AI that identifies pixelated & blurred faces easy for hackers to exploit – researchers
