3 papers
cs.CR2026
CyberForge: Verified Vulnerability Injection at Repository Level for Cybersecurity Agent Training
Amine Lbath, Manan Suri, Aurelien Delaitre +4
Despite recent advances, frontier large language model (LLM) agents remain limited in discovering and patching complex vulnerabilities in real-world software. Generally available a…
cs.SE2026
Software Vulnerability Detection Using a Lightweight Graph Neural Network
Miles Farmer, Ekincan Ufuktepe, Anne Watson +4
Large Language Models (LLMs) have emerged as a popular choice in vulnerability detection studies given their foundational capabilities, open source availability, and variety of mod…
cs.CR2026
AVIATOR: Towards AI-Agentic Vulnerability Injection Workflow for High-Fidelity, Large-Scale Code Security Dataset
Amine Lbath, Massih-Reza Amini, Aurelien Delaitre +1
The increasing complexity of software systems and the sophistication of cyber-attacks have underscored the need for reliable automated software vulnerability detection. Data-driven…