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v2 release
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goodfeli committed Aug 22, 2017
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# CleverHans (v1.0.0)
# CleverHans (v2.0.0)

<img src="https://github.com/tensorflow/cleverhans/blob/master/assets/logo.png?raw=true" alt="cleverhans logo">

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* Report any configuration variables used to determine the behavior of the attack.

For example, you might report "We benchmarked the robustness of our method to
adversarial attack using v1.0.0 of CleverHans. On a test set modified by the
`fgsm` with `eps` of 0.3, we obtained a test set accuracy of 71.3%."
adversarial attack using v2.0.0 of CleverHans. On a test set modified by the
`FastGradientMethod` with a max-norm `eps` of 0.3, we obtained a test set accuracy of 71.3%."

## Contributing

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year={2016}
}
```

A new version of the technical report will be uploaded for each major
revision. GitHub contributors will be added to the author list.
There is not yet an ArXiv tech report for v2.0.0 but one will be prepared soon.

## About the name

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Nicolas Papernot (Pennsylvania State University), and
Ryan Sheatsley (Pennsylvania State University).

The following authors contributed (ordered according to the GitHub contributors page):
* Nicolas Papernot (Pennsylvania State University)
* Ian Goodfellow (OpenAI)
* Ryan Sheatsley (Pennsylvania State University)
The following authors contributed 100 lines or more (ordered according to the GitHub contributors page):
* Nicolas Papernot (Pennsylvania State University, Google Brain intern)
* Nicholas Carlini (UC Berkeley)
* Ian Goodfellow (Google Brain)
* Reuben Feinman (Symantec)
* Fartash Faghri (University of Toronto, Google Brain intern)
* Alexander Matyasko (Nanyang Technological University)
* Karen Hambardzumyan (YerevaNN)
* Yi-Lin Juang (NTUEE)
* Alexey Kurakin (Google Brain)
* Ryan Sheatsley (Pennsylvania State University)
* Abhibhav Garg (IIT Delhi)
* Yen-Chen Lin (National Tsing Hua University)
* Paul Hendricks

## Copyright

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