Auxiliary Batch Normalization
Auxiliary Batch Normalization
**Auxiliary Batch Normalization** is a type of regularization used in adversarial training schemes. The idea is that adversarial examples should have a separate [batch normalization](https://paperswithcode.com/method/batch-normalization) components to the clean examples, as they have different underlying statistics.
Adversarial Examples Improve Image Recognition
https://paperswithcode.com/paper/adversarial-examples-improve-image
Adversarial Examples Improve Image Recognition