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Fooling Neural Networks in the Physical World with 3D Adversarial Objects
We've developed an approach to generate 3D adversarial objects that reliably fool neural networks in the real world, no matter how the objects are looked at.
LabSix is an independent, entirely student-run AI research group composed of MIT undergraduate and graduate students. We engage in a wide range of theoretical and practical research in deep learning.
Visit labsix.org → On Hacker News Nov 2017 – Nov 2017
We've developed an approach to generate 3D adversarial objects that reliably fool neural networks in the real world, no matter how the objects are looked at.