Rolling-buffer Additive Gaussian Processes deliver competitive, interpretable, uncertainty-aware URL phishing classification in an online setting.
On the effective- ness of machine and deep learning for cyber security
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Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems
Rolling-buffer Additive Gaussian Processes deliver competitive, interpretable, uncertainty-aware URL phishing classification in an online setting.