How to use image and weight matrix to create adversarial images in TensorFlow?

Question

In the Breaking Linear Classifiers on ImageNet blog post, the author presented a very simple example on how to modify an image to fool a classifier. The technique given is p

Answer 1

Figured out how:

So, if we're trying to create adversarial images to be falsely classified as "6", we need to grab the weights for "6" only from the weight matrix:

w_six = w[:, 6]

Then we can simply do matrix addition:

images_fool = x + 1.5 * w_six