3 papers
cs.CL2026
FinSafetyBench: Evaluating LLM Safety in Real-World Financial Scenarios
Yutao Hou, Yihan Jiang, Yuhan Xie +5
Large language models (LLMs) are increasingly applied in financial scenarios. However, they may produce harmful outputs, including facilitating illegal activities or unethical beha…
cs.CR2026
From Sands to Mansions: Towards Automated Cyberattack Emulation with Classical Planning and Large Language Models
Lingzhi Wang, Zhenyuan Li, Yi Jiang +4
Evolving attacker capabilities demand realistic and continuously updated cyberattack emulation for threat-informed defense and security benchmarking. Towards automated attack emula…
cs.CR2025
Automated Penetration Testing with LLM Agents and Classical Planning
Lingzhi Wang, Xinyi Shi, Ziyu Li +8
While penetration testing plays a vital role in cybersecurity, achieving fully automated, hands-off-the-keyboard execution remains a significant research challenge. In this paper,…