Foolbox

Support for older versions of `setuptools`.

* MXNet support
* CompositeModel for blackbox transfer attack

added support for Python 2.7

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

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