Robust Attribution Regularization
Recent work on training neural networks to have robust attributions, to improve their trustworthiness and resilience to adversarial attacks.…
Explainability in Deep Neural Networks
The wild success of Deep Neural Network (DNN) models in a variety of domains has created considerable excitement in the machine learning community. Despite this success, a deep understanding of why DNNs perform so well, and whether their performance is somehow brittle, has been lacking.…