FGSM

• FGSM is a method of generating noise in the direction of the cost function gradient concerning the data
• Given original input image x, label y, model parameter θ, and loss J.
• $ad{v}_x=x+ϵ\ast sign({\nabla }_x(J(\theta ,x,y)))$
• this gives us the perturbations