Adversarial Training
AdvProp
Introduced by Xie et al. in Adversarial Examples Improve Image RecognitionAdvProp is an adversarial training scheme which treats adversarial examples as additional examples, to prevent overfitting. Key to the method is the usage of a separate auxiliary batch norm for adversarial examples, as they have different underlying distributions to normal examples.
Source: Adversarial Examples Improve Image Recognition
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Domain Generalization | 2 | 18.18% |
| Image Classification | 2 | 18.18% |
| Feature Importance | 1 | 9.09% |
| Object Detection | 1 | 9.09% |
| Adversarial Attack | 1 | 9.09% |
| BIG-bench Machine Learning | 1 | 9.09% |
| Drug Discovery | 1 | 9.09% |
| Molecular Property Prediction | 1 | 9.09% |
| Property Prediction | 1 | 9.09% |
Auxiliary Batch Normalization
