Phishing

Email Phishing Prevention: An Explainable Nudging Approach
Email phishing remains a persistent cybersecurity threat despite advances in technical defenses. This paper presents an explainable …
Mason Wagner, Benjamin M. Ampel, Matthew J. Hashim, Hsinchun Chen
Last updated on Jan 26, 2026
Examining the Robustness of Machine Learning-based Phishing Website Detection: Action-Masked Reinforcement Learning for Automated Red Teaming
Machine learning-based phishing website detectors are increasingly deployed to protect users from malicious websites. However, these …
Yang Gao, Benjamin M. Ampel, Sagar Samtani
Last updated on Jan 28, 2026
DOI
Generating Adversarial Phishing Websites to Evade Machine Learning-based Anti-Phishing Detectors: A Reinforcement Learning Approach
Machine learning-based anti-phishing detectors are widely deployed to protect users from malicious websites. This paper presents a …
Yang Gao, Sagar Samtani, Hongyi Zhu, Benjamin M. Ampel, Yidong Chai
Last updated on Jan 26, 2026
Evading Anti-Phishing Models: A Field Note Documenting an Experience in the Machine Learning Security Evasion Competition 2022
Although machine learning-based anti-phishing detectors have provided promising results in phishing website detection, they remain …
Yang Gao, Benjamin M. Ampel, Sagar Samtani
Last updated on Jan 26, 2026
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Benchmarking the Robustness of Phishing Email Detection Systems
Phishing emails have emerged as one of the most common forms of social engineering attacks inflicting organizations. To combat this …
Benjamin M. Ampel, Yang Gao, James Hu, Sagar Samtani, Hsinchun Chen
Last updated on Jan 26, 2026
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