Benjamin M. Ampel
Benjamin M. Ampel
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Prediction Markets Are Efficient at Rest and Dislocated in Motion
Prediction markets are often described as real-time probability sensors, but two venues like Kalshi and Polymarket may price the same …
Benjamin M. Ampel
,
Joseph Buckman
Last updated on Sep 14, 2026
PDF
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
PDF
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
PDF
HackerSignal: A Large-Scale Multi-Source Dataset Linking Hacker Community Discourse to the CVE Vulnerability Lifecycle
We introduce HackerSignal, a benchmark for temporal out-of-distribution cyber threat intelligence (CTI) and cross-source CVE linkage. …
Benjamin M. Ampel
,
Sagar Samtani
Last updated on Sep 27, 2026
PDF
Code
DOI
A Multi-Dimensional Evaluation of Explainability in Media Bias Detection
Detecting media bias automatically is difficult because biased framing is often subtle, yet in domains such as news analysis, accurate …
Ting Chen
,
Chengjun Zhang
,
Benjamin M. Ampel
,
Sagar Samtani
Last updated on Sep 3, 2026
PDF
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
PDF
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
PDF
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
PDF
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
PDF
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
PDF
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