Adversarial Machine Learning

Adaptive Phishing URL Classification: A Generative Adversarial Approach
Uniform Resource Locators (URLs) are foundational for navigating the internet. However, URLs remain a critical cybersecurity threat. …
Noah Abdellatif, Mason Wagner, Benjamin M. Ampel, James Hu, Zara Ahmad-Post, Hsinchun Chen
Last updated on Aug 13, 2026
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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 Sep 14, 2026
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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