Update version to 0.8.0

Trusted-AI · Apr 30, 2019 · 96ba281 · 96ba281
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diff --git a/README.md b/README.md
@@ -1,4 +1,4 @@
-# Adversarial Robustness Toolbox (ART v0.7.0)
+# Adversarial Robustness Toolbox (ART v0.8.0)
 [![Build Status](https://travis-ci.org/IBM/adversarial-robustness-toolbox.svg?branch=master)](https://travis-ci.org/IBM/adversarial-robustness-toolbox) [![Documentation Status](https://readthedocs.org/projects/adversarial-robustness-toolbox/badge/?version=latest)](http://adversarial-robustness-toolbox.readthedocs.io/en/latest/?badge=latest) [![GitHub version](https://badge.fury.io/gh/IBM%2Fadversarial-robustness-toolbox.svg)](https://badge.fury.io/gh/IBM%2Fadversarial-robustness-toolbox) [![Language grade: Python](https://img.shields.io/lgtm/grade/python/g/IBM/adversarial-robustness-toolbox.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/IBM/adversarial-robustness-toolbox/context:python) [![Total alerts](https://img.shields.io/lgtm/alerts/g/IBM/adversarial-robustness-toolbox.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/IBM/adversarial-robustness-toolbox/alerts/)
 
 This is a library dedicated to **adversarial machine learning**. Its purpose is to allow rapid crafting and analysis of attacks and defense methods for machine learning models. ART provides an implementation for many state-of-the-art methods for attacking and defending classifiers.
@@ -106,7 +106,7 @@ git commit -s -m 'Add new feature'
 If you use ART for research, please consider citing the following reference paper:
 ```
 @article{art2018,
-    title = {Adversarial Robustness Toolbox v0.7.0},
+    title = {Adversarial Robustness Toolbox v0.8.0},
     author = {Nicolae, Maria-Irina and Sinn, Mathieu and Tran, Minh~Ngoc and Rawat, Ambrish and Wistuba, Martin and Zantedeschi, Valentina and Baracaldo, Nathalie and Chen, Bryant and Ludwig, Heiko and Molloy, Ian and Edwards, Ben},
     journal = {CoRR},
     volume = {1807.01069}

diff --git a/docs/conf.py b/docs/conf.py
@@ -24,9 +24,9 @@
 author = 'Maria-Irina Nicolae'
 
 # The short X.Y version
-version = '0.7'
+version = '0.8'
 # The full version, including alpha/beta/rc tags
-release = '0.7.0'
+release = '0.8.0'
 
 
 # -- General configuration ---------------------------------------------------

diff --git a/setup.py b/setup.py
@@ -22,7 +22,7 @@
                 'sphinx_rtd_theme']
 
 setup(name='Adversarial Robustness Toolbox',
-      version='0.7.0',
+      version='0.8.0',
       description='IBM Adversarial machine learning toolbox',
       long_description=long_description,
       long_description_content_type='text/markdown',