Hi,
I use SMART.
In the SMART paper, the gradient is divided by the infinity norm of the gradient first, but in the perturbation.py, the gradient is multiplied by the step_size first, and then the sum of the initial noise and the gradient is divided by the infinity norm of it.
According to the algorithm on the paper, I think that the only gradient is divided by the infinity norm of the gradient, and then the initial noise should be added to it
Could you let me know which is correct?
Hi, I use SMART. In the SMART paper, the gradient is divided by the infinity norm of the gradient first, but in the perturbation.py, the gradient is multiplied by the step_size first, and then the sum of the initial noise and the gradient is divided by the infinity norm of it. According to the algorithm on the paper, I think that the only gradient is divided by the infinity norm of the gradient, and then the initial noise should be added to it Could you let me know which is correct?