Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning

Hanjing Wang, Dhiraj Joshi, Shiqiang Wang +1

Predictions made by deep learning models are prone to data perturbations, adversarial attacks, and out-of-distribution inputs. To build a trusted AI system, it is therefore critica…