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ART 1.3.2

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@beat-buesser beat-buesser released this 07 Aug 21:28
· 7851 commits to main since this release
1.3.2
4b1d5bc

This release of ART 1.3.2 provides updates to ART 1.3.1.

Added

  • Added verbose parameter for CarliniL2Method, CarliniLInfMethod, and DeepFool attacks to disable progress bars.

Changed

  • Changed the Wasserstein attack to support rectangular images as input (#527)
  • Changed UniversalPerturbation attack to use true labels if provided in internal attacks (#526)
  • Allow None as input for parameter `preprocessing of estimators (#493)
  • Allow eps to be larger than eps_step in ProjectedGradientDescent attacks if norm is not np.inf (#495)

Removed

[None]

Fixed

  • Fixed import path for ProjectedGradientDescend option in UniversalPerturbation attack (#525)
  • Fixed support for arrays as clip_values in ProjectedGradientDescentPyTorch attack for PyTorch (#521)
  • Fixed success criteria for targeted attacks with AutoProjectedGradientDescend (#513)
  • Fixed success criteria for attacks used in AutoAttack (#508)
  • Fixed example for Fast-is-better-than-Free adversarial training (#506)
  • Fixed dtype in AutoProjectedGradientDescent and SquareAttack for testing output type of estimator (#499)
  • Fixed parameters in _augment_images_with_patch calls of attack DPatch (#493)
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