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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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