ART 0.6.0

Added

• PixelDefend defense
• Query-efficient black-box gradient estimates (NES)
• A general wrapper for classifiers allowing to change their behaviour (see art/classifiers/wrapper.py)
• 3D plot in visualization
• Saver for PyTorchClassifier
• Pickling for KerasClassifier
• Representation for all classifiers

Changed

• We now use pretrained models for unit tests (see art/utils.py, functions get_classifier_pt, get_classifier_kr, get_classifier_tf)
• Keras models now accept any loss function

Removed

• Detector abstract class. Detectors now directly extend Classifier

Thanking also our external contributors!
@AkashGanesan