When backpropagating to the generator network, they consider a slight variation of the reverse gradients with respect to the discriminator loss.
ifd ω is the discriminator probability for real images, rather than reversing the gradients of − log(1 −d ω ), they backpropagate the gradients of − logd ω to the generator.