https://github.com/gagan3012/domaingan

Paper Implementation of DomainGAN: Generating Adversarial Examples to Attack Domain Generation Algorithm Classifiers
https://github.com/gagan3012/domaingan

deep-learning gan generative-adversarial-network machine-learning paper-implementations python

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Paper Implementation of DomainGAN: Generating Adversarial Examples to Attack Domain Generation Algorithm Classifiers

• Host: GitHub
• URL: https://github.com/gagan3012/domaingan
• Owner: gagan3012
• License: mit
• Created: 2021-04-22T16:55:20.000Z (almost 4 years ago)
• Default Branch: master
• Last Pushed: 2021-06-08T06:00:43.000Z (over 3 years ago)
• Last Synced: 2024-10-11T09:32:56.082Z (4 months ago)
• Topics: deep-learning, gan, generative-adversarial-network, machine-learning, paper-implementations, python
• Language: Jupyter Notebook
• Homepage:
• Size: 11.8 MB
• Stars: 7
• Watchers: 3
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: .github/CODE_OF_CONDUCT.md

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README

        
# DomainGAN

 Paper Implementation of DomainGAN: Generating Adversarial Examples to Attack Domain Generation Algorithm Classifiers

 

 Paper: https://arxiv.org/pdf/1911.06285.pdf

 

 # Citation:

 

 ```

 @misc{corley2020domaingan,

      title={DomainGAN: Generating Adversarial Examples to Attack Domain Generation Algorithm Classifiers}, 

      author={Isaac Corley and Jonathan Lwowski and Justin Hoffman},

      year={2020},

      eprint={1911.06285},

      archivePrefix={arXiv},

      primaryClass={cs.LG}

}

 ```

 

 # Requirements

 - tensorflow

 - pandas

 - numpy

 - sklearn

 - keras