提交 135e7a82 编写于 作者: P pkuliuliu

0.7.0 release

上级 1a44da69
# Release 0.7.0-beta
## Major Features and Improvements
### Differential privacy model training
* Privacy leakage evaluation.
* Using Membership inference to evaluate the effectiveness of privacy-preserving techniques for AI.
### Model robustness evaluation
* Fuzzing based Adversarial Robustness testing.
* Coverage-guided test set generation.
## Bugfixes
## Contributors
Thanks goes to these wonderful people:
Liu Liu, Xiulang Jin, Zhidan Liu, Luobin Liu and Huanhuan Zheng.
Contributions of any kind are welcome!
# Release 0.6.0-beta
## Major Features and Improvements
......
......@@ -18,7 +18,7 @@ from setuptools import setup
from setuptools.command.egg_info import egg_info
from setuptools.command.build_py import build_py
version = '0.6.0'
version = '0.7.0'
cur_dir = os.path.dirname(os.path.realpath(__file__))
pkg_dir = os.path.join(cur_dir, 'build')
......@@ -95,7 +95,6 @@ setup(
license='Apache 2.0',
packages=find_packages(),
include_package_data=True,
zip_safe=False,
cmdclass={
'egg_info': EggInfo,
'build_py': BuildPy,
......
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