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0.0.4 adv_ml-0.0.4-py3-none-any.whl

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Project: adv-ml
Version: 0.0.4
Filename: adv_ml-0.0.4-py3-none-any.whl
Download: [link]
Size: 20760
MD5: 8ee434a5c26a9c81ebf7b553973f7112
SHA256: a1c284973cac35915fa50ad4ae513a7069b594ece6faeb32fda5e869ad0e013f
Uploaded: 2023-06-10 10:07:32 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: adv-ml
Version: 0.0.4
Summary: A modular and easy-to-use framework of adversarial machine learning algorithms: https://en.m.wikipedia.org/wiki/Adversarial_machine_learning
Author: iradz
Author-Email: irad.zehavi[at]outlook.com
Home-Page: https://github.com/Irad-Zehavi/adv-ml
License: Apache Software License 2.0
Keywords: nbdev jupyter notebook python
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.7
Requires-Dist: fastai
Requires-Dist: fastai-datasets
Requires-Dist: similarity-learning
Requires-Dist: nbdev; extra == "dev"
Provides-Extra: dev
Description-Content-Type: text/markdown
[Description omitted; length: 3260 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.35.1)
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Tag: py3-none-any

RECORD

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adv_ml/_modidx.py sha256=94U1B8HpF2-PUfOolP1Co2KqMYyftjPG41tEQt07IEM 9691
adv_ml/all.py sha256=Q7jsFLqTZ2cK7hPPObiMODAYwp73O7WOu3T7_AkeuTk 175
adv_ml/backdoor.py sha256=tNbynWY7_Nz67kQINaa6nX2Hb0ZuCKiFTOzfvziNkOc 2146
adv_ml/badnets.py sha256=SfC6_Jihankwub3gbxdJx1XLKklZyLoQtk1j9IwtJaY 1097
adv_ml/evasion.py sha256=8WlCj93_0N3YhTljzLktFid_w80btwnezKnVJJ3V1e8 3059
adv_ml/input_optimization.py sha256=ikvQv49duT5bBj-vbXLUB5CV9s8bKIJrUEUs6ePhiws 3406
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adv_ml-0.0.4.dist-info/RECORD — —

top_level.txt

adv_ml

entry_points.txt

[nbdev]
adv_ml = adv_ml._modidx:d