Skip to content

Commit

Permalink
Merge pull request #900 from tensorflow/npapernot-v3
Browse files Browse the repository at this point in the history
prepare readme for v3 release
  • Loading branch information
catherio authored Nov 21, 2018
2 parents 06b804e + a801b19 commit eb49bc3
Showing 1 changed file with 33 additions and 18 deletions.
51 changes: 33 additions & 18 deletions README.md
Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
# CleverHans (latest release: v2.1.0)
# CleverHans (latest release: v3.0.0)

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

Expand Down Expand Up @@ -123,7 +123,7 @@ so that these scripts will be conveniently executable from any directory.
## Tutorials: `cleverhans_tutorials` directory

To help you get started with the functionalities provided by this library, the
`cleverhans_tutorials/' folder comes with the following tutorials:
`cleverhans_tutorials/` folder comes with the following tutorials:
* **MNIST with FGSM** ([code](cleverhans_tutorials/mnist_tutorial_tf.py)): this
tutorial covers how to train a MNIST model using TensorFlow,
craft adversarial examples using the [fast gradient sign method](https://arxiv.org/abs/1412.6572),
Expand Down Expand Up @@ -189,7 +189,7 @@ When reporting benchmarks, please:
* 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 v2.1.0 of CleverHans. On a test set modified by the
adversarial attack using v3.0.0 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%."

## Citing this work
Expand Down Expand Up @@ -230,36 +230,51 @@ other inputs.

## Authors

This library is managed and maintained by Ian Goodfellow (Google Brain),
Nicolas Papernot (Pennsylvania State University), and
Ryan Sheatsley (Pennsylvania State University).
This library is managed and maintained by Ian Goodfellow (Google Brain) and
Nicolas Papernot (Google Brain).

The following authors contributed 100 lines or more (ordered according to the GitHub contributors page):
* Nicolas Papernot (Pennsylvania State University, Google Brain intern)
* Fartash Faghri (University of Toronto, Google Brain intern)
* Nicholas Carlini (UC Berkeley)
* Ian Goodfellow (Google Brain)
* Reuben Feinman (Symantec)
* Nicolas Papernot (Google Brain)
* Nicholas Carlini (Google Brain)
* Fartash Faghri (University of Toronto)
* Tzu-Wei Sung (National Taiwan University)
* Alexey Kurakin (Google Brain)
* Reuben Feinman (New York University)
* Phani Krishna (Video Analytics Lab)
* David Berthelot (Google Brain)
* Tom Brown (Google Brain)
* Cihang Xie (Johns Hopkins)
* Yash Sharma (The Cooper Union)
* Tom Brown (Google Brain)
* Aashish Kumar
* Aurko Roy (Google Brain)
* Alexander Matyasko (Nanyang Technological University)
* Anshuman Suri (Microsoft)
* Yen-Chen Lin (MIT)
* Vahid Behzadan (Kansas State)
* Karen Hambardzumyan (YerevaNN)
* Jonathan Uesato (DeepMind)
* Zhishuai Zhang (Johns Hopkins)
* Yi-Lin Juang (NTUEE)
* Karen Hambardzumyan (YerevaNN)
* Catherine Olsson (Google Brain)
* Aidan Gomez (University of Oxford)
* Zhi Li (University of Toronto)
* Ryan Sheatsley (Pennsylvania State University)
* Yi-Lin Juang (NTUEE)
* Pratyush Sahay
* Abhibhav Garg (IIT Delhi)
* Jonathan Uesato (MIT)
* Willi Gierke (Hasso Plattner Institute)
* Aditi Raghunathan (Stanford University)
* Yang Song (Stanford University)
* Riccardo Volpi (Italian Institute of Technology)
* Angus Galloway (University of Guelph)
* Yinpeng Dong (Tsinghua University)
* David Berthelot (Google Brain)
* Paul Hendricks (NVIDIA)
* Willi Gierke (Hasso Plattner Institute)
* Bruno López
* Jonas Rauber (IMPRS)
* Paul Hendricks (NVIDIA)
* Ryan Sheatsley (Pennsylvania State University)
* Rujun Long (0101.AI)
* Bogdan Kulynych (EPFL)
* Erfan Noury (UMBC)
* Robert Wagner (Case Western Reserve University)

## Copyright

Expand Down

0 comments on commit eb49bc3

Please sign in to comment.