Adversarial Robustness in URL-Based Phishing Detection: Problem-Space Evaluation and Robust Feature Engineering
Machine learning has become a widely adopted approach for URL-based phishing detection, with many studies reporting F1 scores exceeding 0.95 on benchmark datasets. However, recent adversarial machine learning research has questioned the robustness of these models, suggesting that small input perturbations can severely...