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April 23, 2019 10:40 pm

Engineers Develop Colorful Printed Patch That Hides People From AI

A group of engineers from the University of KU Leuven in Belgium have come up with a solution to make users invisible to one specific algorithm. "In a paper shared last week on the preprint server arXiv, these students show how simple printed patterns can fool an AI system that's designed to recognize people in images," reports The Verge. From the report: If you print off one of the students' specially designed patches and hang it around your neck, from an AI's point of view, you may as well have slipped under an invisibility cloak. As the researchers write: "We believe that, if we combine this technique with a sophisticated clothing simulation, we can design a T-shirt print that can make a person virtually invisible for automatic surveillance cameras." In the case of this recent research -- which we spotted via Google researcher David Ha -- some caveats do apply. Most importantly, the adversarial patch developed by the students can only fool one specific algorithm named YOLOv2. It doesn't work against even off-the-shelf computer vision systems developed by Google or other tech companies, and, of course, it doesn't work if a person is looking at the image.

Read more of this story at Slashdot.


Original Link: http://rss.slashdot.org/~r/Slashdot/slashdot/~3/L09-qi7GNF0/engineers-develop-colorful-printed-patch-that-hides-people-from-ai

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