1

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 …
Last updated on Feb 5, 2026
PDF DOI
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 …
Last updated on Feb 5, 2026
PDF DOI
Multi-Agent Systems for Information Systems Research: Provocations for AI-Augmented Scholarship
This TREO talk explores provocative questions about the role of multi-agent AI systems in information systems scholarship. We examine …
Last updated on Feb 5, 2026
Email Phishing Prevention: An Explainable Nudging Approach
Email phishing remains a persistent cybersecurity threat despite advances in technical defenses. This paper presents an explainable …
Last updated on Feb 5, 2026
Large Language Models for Infrastructure as Code Vulnerability Remediation
Infrastructure as Code (IaC) has become essential for modern DevOps practices, enabling automated provisioning and management of cloud …
Last updated on Feb 5, 2026
Multi-Agent Systems for Information Systems Research: A Framework for Collaborative AI-Augmented Inquiry
Multi-agent AI systems offer promising capabilities for enhancing information systems research. This paper presents a framework for …
Last updated on Feb 5, 2026
Examining the Robustness of Machine Learning-based Phishing Website Detection: Action-Masked Reinforcement Learning for Automated Red Teaming
Machine learning-based phishing website detectors are increasingly deployed to protect users from malicious websites. However, these …
Last updated on Feb 5, 2026
DOI
The 4th Workshop on Artificial Intelligence-enabled Cybersecurity Analytics
The 4th Workshop on Artificial Intelligence-enabled Cybersecurity Analytics (AI4Cyber) brings together researchers and practitioners to …
Last updated on Feb 5, 2026
PDF DOI
Disrupting Ransomware Actors on the Bitcoin Blockchain: A Graph Embedding Approach
Ransomware attacks continue to pose significant threats to organizations worldwide, with attackers often demanding payment in Bitcoin. …
Last updated on Feb 5, 2026
PDF 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 …
Last updated on Feb 5, 2026