from ..attack import Attack
[docs]
class VANILA(Attack):
r"""
Vanila version of Attack.
It just returns the input images.
Arguments:
model (nn.Module): model to attack.
Shape:
- images: :math:`(N, C, H, W)` where `N = number of batches`, `C = number of channels`, `H = height` and `W = width`. It must have a range [0, 1].
- labels: :math:`(N)` where each value :math:`y_i` is :math:`0 \leq y_i \leq` `number of labels`.
- output: :math:`(N, C, H, W)`.
Examples::
>>> attack = torchattacks.VANILA(model)
>>> adv_images = attack(images, labels)
"""
def __init__(self, model):
super().__init__("VANILA", model)
self.supported_mode = ["default"]
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def forward(self, images, labels=None):
r"""
Overridden.
"""
adv_images = images.clone().detach().to(self.device)
return adv_images