It's worth pointing out that their technique requires access to the internals of the network: First, we compute the gradient of the outputs of the neurons in b

It's worth pointing out that their technique requires access to the internals of the network: First, we compute the gradient of the outputs of the neurons in both the output and hidden layers with the input value as a variable and the weight parameter as a constant. A well designed production system would not support this.