2 citations · 2 across the 4 of their papers we have counts for
4 papers · 1 filter
When External Threats Become User Context: Tricking Agents into Accepting Malicious Information
Fengchao Chen, Tingmin Wu, Van Nguyen +3
Autonomous LLM agents receive task goals through user requests, but these requests may also relay untrusted external information. We study source relocation, where an externally av…
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…
SoK: Systematizing Generation, Characteristics, and Defenses in LLM-Generated Phishing
Fengchao Chen, Tingmin Wu, Van Nguyen +1
The rapid advancement of Large Language Models (LLMs), with their growing abuse in phishing, has enabled phishing content, including deceptive pretexts and other persuasive element…
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…