Version 0.8.0

Our technical report is now available on arXiv: https://arxiv.org/abs/1707.04131

Version 0.7.3

v0.7.3

version 0.7.3

Version 0.7.2

added support for a preprocessing callback to the PyTorch model

Version 0.7.1

Bugfix for the PyTorch interface when using GPUs, contributed by @ducha-aiki.

Version 0.7

Support for older versions of setuptools.

Version 0.6

• MXNet support
• CompositeModel for blackbox transfer attack

Version 0.5

added support for Python 2.7

Version 0.4

Improved Distances

• value and gradient can now be accessed using properties rather than methods
• the distances are now relative to the bounds (and therefore always between 0 and 1) and much more interpretable

Official Release

Models

• TensorFlow
• PyTorch
• Keras
• Theano
• Lasagne
• and more

Attacks

• GradientSignAttack (FGSM)
• IterativeGradientSignAttack
• GradientAttack
• IterativeGradientAttack
• LBFGSAttack
• DeepFoolAttack
• SaliencyMapAttack
• GaussianBlurAttack
• ContrastReductionAttack
• SinglePixelAttack
• LocalSearchAttack
• SLSQPAttack
• AdditiveUniformNoiseAttack
• AdditiveGaussianNoiseAttack
• SaltAndPepperNoiseAttack
• and more

Criteria

• Misclassification
• TopKMisclassification
• OriginalClassProbability
• TargetClass
• TargetClassProbability

Distances

• MeanSquaredDistance (MSE)
• MeanAbsoluteDistance