A troublesome result, especially where there is incentive to do so.
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. .... "
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