semvec/pypi-packages huggingface dataset:
dtox 0.1.0
TODO
License: MIT License
Keywords: machine learning security adversarial attackdefense deep learning pytorch


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Intro
-----

**Detox** is an open source software library for machine learning
security. It contains tools for adversarial example generation and
provides a framework for building new types of attack methods.

Currently in the dev stage.

Attacks
-------

Available attack algorithms implemented in Detox:

-  Fast Gradient Methods (FGM/FGSM)
   ```Tutorial`` </tutorial/source/fgsm.ipynb>`__
-  Basic Iterative
   ```Tutorial`` </tutorial/source/basic_iterative.ipynb>`__
-  Momentum Iterative
   ```Tutorial`` </tutorial/source/momentum_iterative.ipynb>`__
-  DeepFool
-  Universal Adversarial Perturbation (UAP)
-  Jacobian-based Saliency Map Approach (JSMA)
-  One Pixel Attack
-  LBFGS
-  Carlini Wagner L2
-  Carlini Wagner L-inf
-  Feature Adversaries
-  Boundary Attack
-  Elastic Net
-  Natural Adversarial Examples (NAE)

The Team
~~~~~~~~

Detox is a community driven project. The project was initiated by
machine learning security team @ `KakaoBrain <kakaobrain.com>`__.

.. |license| image:: https://img.shields.io/github/license/mashape/apistatus.svg