<ul data-eligibleForWebStory="false"><li>Phishing attacks are growing more sophisticated, necessitating detection systems with high accuracy and efficiency.</li><li>A study compares traditional Machine Learning (ML), Deep Learning (DL), and quantized Large Language Models (LLMs) for phishing detection.</li><li>LLMs, though not as accurate as ML and DL methods, show potential in recognizing subtle phishing cues.</li><li>The study proposes the integration of optimized LLMs in cybersecurity frameworks for enhanced phishing defense.</li></ul>

Phishing Detection in the Gen-AI Era: Quantized LLMs vs Classical Models

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