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Pathways to AI-Ready Entry-Level Talent for Industry Domains: Modular, Adaptive Design Principles for Business-School Curriculum
Generative AI is transforming entry-level knowledge work by automating tasks that have traditionally provided novices with practical …
Arun Rai, Balasubramaniam Ramesh, Cynthia Breazeal, Eric Klopfer, Benjamin M. Ampel, Amrita George, Xinyu Fu, Madhu Kota
Last updated on Aug 13, 2026
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Prosody Training for Lowering Vishing Susceptibility
This short paper reports a pilot test of prosody-focused training for voice phishing (vishing). While vishing is increasingly …
Benjamin M. Ampel, Joseph Buckman
Last updated on Aug 13, 2026
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A Four-Signal Learned Fusion for Near-Real-Time Phishing URL Detection
Phishing URLs remain the primary vector for attackers to steal confidential user information. Cyber analysts triaging URLs during a …
Abena M. Darko, Benjamin M. Ampel
Last updated on Aug 13, 2026
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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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Automated Cross-Repository Vulnerability Variant Retrieval Using Patch-Weighted Contrastive Learning
Vulnerabilities propagate across open-source software (OSS) ecosystems through code reuse. However, existing vulnerability management …
Joseph Chen, Benjamin M. Ampel, Steven Ullman, Raul Y. Reyes, Hsinchun Chen
Last updated on Aug 13, 2026
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Performance Transfer and Behavioral Reliance in AI-Assisted Cybersecurity Training
Generative AI can enhance cybersecurity training performance with support, but better-supported performance does not necessarily mean …
Kameron Clark, Benjamin M. Ampel, Balasubramaniam Ramesh
Last updated on Aug 13, 2026
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Vendor-Conditioned Contrastive Learning for Predicting Organizational Cyber Threat Targets
Cyberattacks cause billions of dollars in damage annually, with malicious hackers often sharing exploit code and techniques on …
Benjamin M. Ampel
Last updated on Aug 13, 2026
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A Domain-Adaptive Soft Prompting Framework for Multi-Type Bias Detection in News
Advances in Large Language Models (LLMs) have enabled new opportunities to automate media analysis and improve collaborative social …
Chengjun Zhang, Benjamin M. Ampel, Sagar Samtani
Last updated on Jun 9, 2026
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Automatic Extraction of Protected Health Information from Multilingual Hacker Communities
Protected Health Information (PHI, e.g., electronic health records, insurance information) is increasingly stolen in data breaches by …
Cade Dacosta, Benjamin M. Ampel, Matthew Hashim, Hsinchun Chen
Last updated on Jun 9, 2026
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A Multi-Dimensional Evaluation of Explainability in Media Bias Detection

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Ting Chen, Chengjun Zhang, Benjamin M. Ampel, & Sagar Samtani (2026). A Multi-Dimensional Evaluation of Explainability in Media Bias Detection. In *arXiv preprint arXiv:2607.19954*
Ting Chen, Chengjun Zhang, Benjamin M. Ampel, Sagar Samtani
Last updated on Aug 14, 2026
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