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This repository has been archived by the owner on Feb 8, 2020. It is now read-only.

Version 0.6.0

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@jonasrauber jonasrauber released this 30 Oct 19:28
· 203 commits to master since this release

New Features

  • added value_and_grad to PyTorchModel, TensorFlowModel and JAXModel to differentiate arbitrary loss functions natively in all frameworks
  • added the Carlini Wagner L2 attack (works natively with PyTorch, TensorFlow and JAX) using value_and_grad
  • added a random_start argument to the L-inf Basic Iterative Method
  • added PGD
  • added atleast_kd to utils
  • bug fixes