📦 Installation
Install the package via pip:
pip install adversarialpytorchattack
## 📦 Or installation using Github
Or install from source
```sh
git clone https://github.com/santhoshatwork17@gmail.com/adversarialpytorchattackers.git
cd adversarial_pytorch_attack
## 🛠️ Usage
```python
import torch
import torchvision.models as models
from adversarialpytorchattack.attacks import FGSM, PGD, CW
from adversarialpytorchattack.utils import visualize_perturbation, save_image
# pre-trained model
model = models.resnet18(pretrained=True).eval()
# input image
image = torch.rand((1, 3, 224, 224)) # Example input
label = torch.tensor([0]) # Example label
# Apply attack
fgsm_attack = FGSM(model, epsilon=0.03)
adv_image = fgsm_attack(image, label)
# Save the adversarial image
save_image(adv_image, "adv_fgsm.jpg")
1 maintainer
Metadata
1 maintainer
Release files for adversarialtorchattacks 1.0.0
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Total release size: 13.1 kB
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