Metadata-Version: 2.2
Name: advtorchattacks
Version: 2.0
Summary: A PyTorch library for adversarial attacks, inspired by torchattacks.
Home-page: https://github.com/santhos1705kumar/advtorchattacks
Author: Santhoshkumar K
Author-email: santhoshatwork17@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Requires-Dist: torch>=1.8.0
Requires-Dist: torchvision
Requires-Dist: numpy
Requires-Dist: scipy
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: requires-dist
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# 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

```bash

pip install advtorchattacks

```

### 2 Install from GitHub 

```bash

https://github.com/santhosh1705kumar/advtorchattacks

```
