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Adversarial Patch Attack with Pytorch

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Implement Adversarial Patch (Adversarial Patch paper) Attacks. (It's Not official implementation of this paper)




Getting Start


Scripts for Start

  1. git clone https://github.com/PresentJay/Adversarial_Patch_Attack_With_Pytorch.git
  2. cd ./Adversarial_Patch_Attack_With_Pytorch

[Using Virtualenv]

  1. pip install virtualenv
  2. virtualenv venv
  3. . venv/scripts/activate

then, {venv} environment is activated.

  1. pip install -r requirements.txt
  2. python main.py



TODO

order contents startdate enddate
1 organize results
2 add more experiment styles
3 add anaconda environment
4 add usage commands
5 modify some private data in log
6 add final patch and graphs to all results


Contact



Code Conventions

Commit Convention: Udacity Style
https://udacity.github.io/git-styleguide/

DocString Convention: Google Style
https://sphinxcontrib-napoleon.readthedocs.io/en/latest/example_google.html


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experimenting effects of adversarial patch attacks to some of targets on python (pytorch)

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