Topics for: Accuracy, Feature Interpretability, and Usability of LLMs in Phishing Email Detection

Focus on the production usability gap: analyzing the high cost and latency of LLMs and how to integrate their complex outputs effectively into real-time Security Operations Center (SOC) workflows.

Discuss the accuracy degradation of LLM detectors when faced with highly sophisticated, adversarial phishing emails generated by other LLMs, and explore defense strategies like adversarial training.

Discuss the critical challenge of balancing high LLM detection accuracy against the need for feature interpretability (why was it flagged?) and system usability for security analysts in phishing email defense. This involves analyzing black-box models, interpreting techniques like SHAP, and optimizing output for SOC team triage.