IFGSM

IFGSM

Bases: PGD

Iterative Fast Gradient Sign Method (I-FGSM) attack.

From the paper: Adversarial Examples in the Physical World.

Source code in torchattack/pgd.py

@register_attack()
class IFGSM(PGD):
    """Iterative Fast Gradient Sign Method (I-FGSM) attack.

    > From the paper: [Adversarial Examples in the Physical
    World](https://arxiv.org/abs/1607.02533).
    """

    def __init__(
        self,
        model: nn.Module | AttackModel,
        normalize: Callable[[torch.Tensor], torch.Tensor] | None = None,
        device: torch.device | None = None,
        eps: float = 8 / 255,
        steps: int = 10,
        alpha: float | None = None,
        clip_min: float = 0.0,
        clip_max: float = 1.0,
        targeted: bool = False,
    ) -> None:
        super().__init__(
            model,
            normalize,
            device,
            eps,
            steps,
            alpha,
            random_start=False,  # key difference
            clip_min=clip_min,
            clip_max=clip_max,
            targeted=targeted,
        )