
Don’t be wrong because you might be fooled: Tips on how to secure your ML model
Figuring out the reasons why your ML model might be consistently less accurate in certain classes than others, might help you increase not only its total accuracy but also its adversarial robustness. Introduction Machine Learning (ML) models and especially the Deep Learning (DL) ones can achieve impressive results, especially on unstructured data like images and […]