2 papers
cs.CR2026
CyberGym-E2E: Scalable Real-World Benchmark for AI Agents' End-to-End Cybersecurity Capabilities
Tianneng Shi, Robin Rheem, Dongwei Jiang +13
AI has the potential to transform cybersecurity by enabling systems that can autonomously detect, analyze, and remediate software vulnerabilities. However, existing cybersecurity e…
cs.CR2026
Trident: Improving Malware Detection with LLMs and Behavioral Features
Rebecca Saul, Jingzhi Jiang, Elliott Chia +1
Traditionally, machine learning methods for PE malware detection have relied on static features like byte histograms, string information, and PE header contents. One barrier to inc…