I was reading this paper https://arxiv.org/pdf/1312.6199.pdf and I couldn't understand what D(x,l) means.
My interpretation of the objective function is as follows.
r : noise
x : image
l : label
Minimize the noisy image r such that its addition to the image x results in the new image being classified as l. The following sentence then uses the term D(x,l) and I still don't get what it means after spending some time reading it.

I think I finally understood it.
D(x,l)is the distortion function such thatxis classified as l or intuitively, the intensity I need to add to each pixel such that the resulting image gets classified asl. That is whyD(x,f(x))=f(x)because the distortion function to havexbe classified asf(x)is simplyf(x)