Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images

That DNNs see these objects as near-perfect examples of recognizable images sheds light on remaining differences between the way DNNs and humans recognize objects, raising questions about the true generalization capabilities of DNNs and the potential for costly exploits of solutions that use DNNs.