Phishing

Email Phishing Prevention: An Explainable Nudging Approach
Email is a ubiquitous communication tool. This ubiquity has made emails a frequent target of phishing attacks. Organizations often use …
Mason Wagner, Benjamin M. Ampel, Matthew J. Hashim, Hsinchun Chen
Last updated on Jun 9, 2026
Examining the Robustness of Machine Learning-based Phishing Website Detection: Action-Masked Reinforcement Learning for Automated Red Teaming
As machine learning (ML)-based detectors become increasingly prevalent in identifying phishing websites, attackers are also exploiting …
Yang Gao, Benjamin M. Ampel, Sagar Samtani
Last updated on Jun 9, 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 Jun 9, 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 Jun 9, 2026
PDF DOI
Benchmarking the Robustness of Phishing Email Detection Systems
Social engineering attacks are currently the most cited cybersecurity threat to organizations. Phishing emails are the most salient …
Benjamin M. Ampel, Yang Gao, James Hu, Sagar Samtani, Hsinchun Chen
Last updated on Jun 9, 2026
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