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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 8, 2026
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 8, 2026
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 8, 2026
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 8, 2026
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 8, 2026
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 8, 2026
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 8, 2026
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
PDF DOI
A Multi-Dimensional Evaluation of Explainability in Media Bias Detection

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T Chen, R Zhang, Benjamin M. Ampel, & Sagar Samtani (2026). A Multi-Dimensional Evaluation of Explainability in Media Bias Detection. In *arXiv preprint arXiv:2607.19954*
T Chen, R Zhang, Benjamin M. Ampel, Sagar Samtani
Last updated on Jul 27, 2026
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