IEEE

Adaptive Concept Drift Detection Using Bayesian Neural Networks and Wasserstein Distance

Abstract: Concept drift in streaming data poses a significant challenge to the stability and performance of deep learning models. This study explores an uncertainty-based drift detection approach ...
IEEE

Explaining Probabilistic Bayesian Neural Networks for Cybersecurity Intrusion Detection

Abstract: The probabilistic Bayesian neural network(BNN) is good at providing trustworthy outcomes that is important, e.g. in intrusion detection. Due to the complex of probabilistic BNN, it is looks ...