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Fooling Computer Vision

Podcast |: Data Skeptic
Publisher |: Kyle Polich
Media Type |: audio
Podknife tags |: Artificial Intelligence,; Data Science,; Interview,; Natural Sciences,; Science & Medicine,; Technology
Categories Via RSS |: Mathematics,; Science,; Technology
Publication Date |: Jan 22, 2020
Episode Duration |: 00:25:26

Wiebe van Ranst joins us to talk about a project in which specially designed printed images can fool a computer vision system, preventing it from identifying a person. Their attack targets the popular YOLO2 pre-trained image recognition model, and thus, is likely to be widely applicable.

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