Machine learning system can descramble pixelated/blurred redactions 83% of the time

A joint UT Austin/Cornell team has taught a machine learning system based on the free/open Torch library to correctly guess the content of pixellated or blurred redactions with high accuracy: for masked faces that humans correctly guess 0.19% of the time, the system can make a correct guess 83% of the time, when given five tries. report this ad Redaction errors have plagued data-releases since the earliest days of the net; who can forget the hilarity of companies and agencies that added black boxes in an overlay to their PDFs, or left Word’s document history (including all the deleted passages) intact on their sensitive releases? Or the pedophile whose twirly-faced redaction was de-twirled to catch and prosecute him? These days, the best practice seems to be opening the images in…


Link to Full Article: Machine learning system can descramble pixelated/blurred redactions 83% of the time