4 papers
Agents at Risk: How Users Unwittingly Undermine LLM Safety
Fengchao Chen, Tingmin Wu, Van Nguyen +2
Large language model (LLM)-based agents are increasingly deployed in applications, such as trip-planning agents and web-use agents, to perform complex planning and execution tasks.…
SoK: Exposing the Generation and Detection Gaps in LLM-Generated Phishing
Fengchao Chen, Tingmin Wu, Van Nguyen +1
Phishing campaigns involve adversaries masquerading as trusted vendors trying to trigger user behavior that enables them to exfiltrate private data. While URLs are an important par…
MulVuln: Enhancing Pre-trained LMs with Shared and Language-Specific Knowledge for Multilingual Vulnerability Detection
Van Nguyen, Surya Nepal, Xingliang Yuan +3
Software vulnerabilities (SVs) pose a critical threat to safety-critical systems, driving the adoption of AI-based approaches such as machine learning and deep learning for softwar…
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models
Fengchao Chen, Tingmin Wu, Van Nguyen +3
Phishing remains a pervasive cyber threat, as attackers craft deceptive emails to lure victims into revealing sensitive information. While Artificial Intelligence (AI), in particul…