Library for simulating data poisoning attacks against online learning.
niteshade (/ˈnaɪt.ʃeɪd/) is a Python library for simulating data poisoning attack and defence strategies against online machine learning systems. The library is written in Python 3.10 and offers a simple and intuitive API which is heavily integrated with PyTorch’s machine learning framework.
For further details about the project, including background information, example usage and detailed API documentation, visit https://oskarfernlund.github.io/niteshade/.
niteshade requires Python 3.8 or higher.
niteshade binaries may be installed from PyPI using pip https://pypi.org/project/niteshade/.
$ pip install niteshade
Use of a virtual environment is strongly recommended.
Note: Installation with Anaconda is not currently available. Anaconda users should install niteshade with pip inside an Anaconda environment.
niteshade is a library of functions and classes which allow users to easily specify data poisoning attack and defence strategies and simulate their effects against online learning using PyTorch models. Detailed information regarding the python API and example usage can be found at https://oskarfernlund.github.io/niteshade/.
This project has separate package and developer dependencies, both of which can be found in the env/ directory in the form of requirements.txt and environment.yml files for pip and Anaconda users. Package dependencies (prefixed with “pkg”) consist exclusively of the packages required to use the library and are installed automatically when niteshade binaries are installed with pip. Developer dependencies (prefixed with “dev”), include the package dependencies as well as additional packages required for building the documentation, running tests, linting the source code and publishing releases.
$ cd env/
$ pip install -r dev_requirements.txt # or pkg_requirements.txt
$ conda env create -f dev_environment.yml # or pkg_environment.yml
Building the Documentation
To build documentation in various formats, you will need Sphinx and the readthedocs theme (included in the developer dependencies). You can build the documentation by running make <format> from the docs/ directory. Run make to get a list of all available output formats.
$ cd docs/ $ make clean && make <format>
Running Unit and Integration Tests
This project uses pytest for unit and integration testing (included in the developer dependencies). The tests may be run from the root directory as follows:
$ pytest ... ===== x passed, x warnings in x.xx seconds =====
Package releases are published to PyPI automatically when a tag is pushed to GitHub.
$ export RELEASE=x.x.x $ git commit --allow-empty -m "Release $RELEASE" $ git tag -a $RELEASE -m "Version $RELEASE" $ git push origin --tags
niteshade was co-created by Mart Bakler, Oskar Fernlund, Alexandra Ntemourtsidou, Jaime Sabal-Bermudez and Mustafa Saleem in 2022 at Imperial College London. The authors may be contacted at the following email addresses:
Mart Bakler: email@example.com
Oskar Fernlund: firstname.lastname@example.org
Alexandra Ntemourtsidou: email@example.com
Jaime Sabal Bermúdez: firstname.lastname@example.org
Mustafa Saleem: email@example.com
Many thanks to Dr. Emil C. Lupu for all his insightful feedback and support.
Disclaimer: While niteshade is an open-source project and contributions are welcome, we cannot guarantee that the codebase will be actively maintained in the future.
niteshade uses the MIT license. Details regarding permissions to use and distribute the software may be found in the LICENSE file.
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