Is there a way to save weights?

[ehsankf]

[davidslater]

Not presently in the scenarios. However the ART wrappers enable saving (https://github.com/IBM/adversarial-robustness-toolbox/blob/master/art/classifiers/pytorch.py#L474), so it shouldn't be difficult to modify a scenario to do so locally.