Erik Jacobsen and Amy Mumby talk about how nowhere to Hide: Algorithms Are Learning to ID Pixelated Faces.

Blurring or pixelating information to obscure it may not work anymore thanks to machine learning researchers from the University of Texas at Austin and Cornell University. The researchers developed an algorithm that could identify faces and numbers even after they were blurred out. The researchers developed the algorithm using open-source machine-learning software. The goal of the research is to illustrate vulnerabilities in standard image encryption. For instance, YouTube currently provides blurring software for hiding the identities of video subjects, but the researchers would like YouTube to specify that it doesn’t work on machines. Anyone with enough time, computing power, and knowhow could easily identify people with blurred faces in YouTube videos.  

Full article HERE 

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