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torchattacks

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3.5.1 torchattacks-3.5.1-py3-none-any.whl

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Project: torchattacks
Version: 3.5.1
Filename: torchattacks-3.5.1-py3-none-any.whl
Download: [link]
Size: 142039
MD5: 979ac2cb355f8308b4b2eb651f79b582
SHA256: 10c1b05f3a0b52869a91dfa9f9d5adf613750276a15f41fdbd361127cc6bd703
Uploaded: 2023-10-21 00:17:57 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: torchattacks
Version: 3.5.1
Summary: Torchattacks is a PyTorch library that provides adversarial attacks to generate adversarial examples.
Author: Harry Kim
Author-Email: 24k.harry[at]gmail.com
Home-Page: https://github.com/HarryK24/adversairal-attacks-pytorch
License: MIT
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Operating System :: OS Independent
Requires-Python: >=3
Requires-Dist: torch (>=1.7.1)
Requires-Dist: torchvision (>=0.8.2)
Requires-Dist: scipy (>=0.14.0)
Requires-Dist: tqdm (>=4.56.1)
Requires-Dist: requests (~=2.25.1)
Requires-Dist: numpy (>=1.19.4)
[No description]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.36.2)
Root-Is-Purelib: true
Tag: py3-none-any

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torchattacks-3.5.1.dist-info/RECORD — —

top_level.txt

robustbench
torchattacks