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Machine learning models for phishing detection can lose up to 30% of their effectiveness as phishing tactics evolve, revealing a critical gap in current defenses.
MobileNetV2 outperforms its peers with a 92% accuracy in detecting biometric spoofing, revealing critical gaps in the robustness of other models.