Benchmarking the Robustness of Phishing Email Detection Systems

In Plain Terms

Companies increasingly rely on AI to catch phishing emails, but attackers can fool these systems by making tiny tweaks to the text. This study systematically tests popular AI phishing detectors against such manipulations and shows they are often easily evaded, arguing for layered defenses and offering a benchmark organizations can use to stress-test their own tools.

Key Contributions

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Artifacts

Citation

Benjamin M. Ampel, Yang Gao, James Hu, Sagar Samtani, & Hsinchun Chen (2023). Benchmarking the Robustness of Phishing Email Detection Systems. AMCIS
Benjamin M. Ampel
Benjamin M. Ampel
Assistant Professor in Computer Information Systems and Director, Center for CyberAI Research (CCAIR)

My research focuses on AI-enabled Cybersecurity, including Cyber Threat Intelligence, Large Language Models, and Phishing Detection.

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