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0.1.1

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adversarial-examples

Create adversarial images that make a neural network misclassify them.

Published7 Mar 2024
Direct dependencies3
Transitive dependenciesNot calculated

README

Version 0.1.1 documentation

Adversarial Examples

Create adversarial images that make a neural network misclassify them.

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Declared dependencies 3

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3 direct targetsNot calculated transitive count
Package / targetRequirementRelationship
pillow
Environment
{
  "extras": "",
  "marker": null,
  "requires_python": ">=3.10,<4.0",
  "evaluation": "NOT_EVALUATED"
}
pillow (>=10.2.0,<11.0.0)runtime
torch
Environment
{
  "extras": "",
  "marker": null,
  "requires_python": ">=3.10,<4.0",
  "evaluation": "NOT_EVALUATED"
}
torch (>=2.2.1,<3.0.0)runtime
torchvision
Environment
{
  "extras": "",
  "marker": null,
  "requires_python": ">=3.10,<4.0",
  "evaluation": "NOT_EVALUATED"
}
torchvision (>=0.17.1,<0.18.0)runtime

Distribution files

2 collected
adversarial_examples-0.1.1-py3-none-any.whl

bdist_wheel · 4.2 KB · Python py3

Source file
adversarial_examples-0.1.1.tar.gz

sdist · 3.28 KB · Python source

Source file

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Observed since 20 Oct, 20:02 UTC

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package_version:ab3d17d1e67e3e8514cc8959566a5e2fe5ad0aad904d55d7ae33f3a86b8cdcd0

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