In this repository, I experiement with the characteristic found in the paper One pixel attack for fooling deep neural networks .

I apply a similar attack to experiment with how many pixels are required to significantly reduce the accuracy for a deeplabv2 semantic segmentation network.

It takes more than 1 pixel to reduce the accuracy more than 0.01%, but with 6+ pixels, the accuracy can drop on a single image by a percent.