Fooling Deep Neural Networks

Researchers discuss their study on deep neural networks and how they can be easily fooled by imperceptible modifications to images. They explore the phenomenon of false positives and the discriminative nature of these networks, highlighting the disconnect between features recognized by the network and those intuitive to humans.