A PyTorch library for adversarial attacks, inspired by torchattacks.
Project description
AdvTorchAttacks
AdvTorchAttacks is a PyTorch-based library for generating adversarial attacks on deep learning models. It provides implementations of widely used attack methods, enabling user to evaluate model robustness against adversarial perturbations.
Features
- Implements FGSM, PGD, CW, MIFGSM, and AutoAttack adversarial attack methods.
- Works with PyTorch models.
- Returns adversarial images, perturbations images.
Installation
You can install advtorchattacks in two ways:
1️ Install from PYPI
pip install advtorchattacks
2 Install from GitHub
https://github.com/santhosh1705kumar/advtorchattacks
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