This repository has been archived by the owner on Feb 8, 2020. It is now read-only.
Version 0.6.0
New Features
- added
value_and_grad
toPyTorchModel
,TensorFlowModel
andJAXModel
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