Method forward

transferattack/attack.py:67–102

The general attack procedure Arguments: data (N, C, H, W): tensor for input images labels (N,): tensor for ground-truth labels if untargetd labels (2,N): tensor for [ground-truth, targeted labels] if targeted

(self, data, label, **kwargs)

            return load_single_model(model_name)

    def forward(self, data, label, **kwargs):
        """
        The general attack procedure

        Arguments:
            data (N, C, H, W): tensor for input images
            labels (N,): tensor for ground-truth labels if untargetd
            labels (2,N): tensor for [ground-truth, targeted labels] if targeted
        """
        if self.targeted:
            assert len(label) == 2
            label = label[1] # the second element is the targeted label tensor
        data = data.clone().detach().to(self.device)
        label = label.clone().detach().to(self.device)

        # Initialize adversarial perturbation
        delta = self.init_delta(data)

        momentum = 0
        for _ in range(self.epoch):
            # Obtain the output
            logits = self.get_logits(self.transform(data+delta, momentum=momentum))

            # Calculate the loss
            loss = self.get_loss(logits, label)

            # Calculate the gradients
            grad = self.get_grad(loss, delta)

            # Calculate the momentum
            momentum = self.get_momentum(grad, momentum)

            # Update adversarial perturbation
            delta = self.update_delta(delta, data, momentum, self.alpha)

        return delta.detach()

    def get_logits(self, x, **kwargs):
        """