PHISHREV+: An ASP-Based Post-Hoc Defeasible Machine Learning Framework for Phishing Detection
arXiv:2611.09273v1 Announce Type: new Abstract: Phishing website detection remains a critical cybersecurity challenge. Although machine learning classifiers achieve high accuracy on benchmark datasets, they suffer from a fundamental limitation: once trained, their decision boundaries are fixed and cannot…
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