15 papers
Small Agent Group is the Future of Digital Health
Yuqiao Meng, Luoxi Tang, Dazheng Zhang +5
The rapid adoption of large language models (LLMs) in digital health has been driven by a "scaling-first" philosophy, i.e., the assumption that clinical intelligence increases with…
Uncovering Vulnerabilities of LLM-Assisted Cyber Threat Intelligence
Yuqiao Meng, Luoxi Tang, Feiyang Yu +4
Large language models (LLMs) are increasingly used to help security analysts manage the surge of cyber threats, automating tasks from vulnerability assessment to incident response.…
Benchmarking LLM-Assisted Blue Teaming via Standardized Threat Hunting
Yuqiao Meng, Luoxi Tang, Feiyang Yu +4
As cyber threats continue to grow in scale and sophistication, blue team defenders increasingly require advanced tools to proactively detect and mitigate risks. Large Language Mode…
Adversarial Network Imagination: Causal LLMs and Digital Twins for Proactive Telecom Mitigation
Vignesh Sriram, Yuqiao Meng, Luoxi Tang +1
Telecommunication networks experience complex failures such as fiber cuts, traffic overloads, and cascading outages. Existing monitoring and digital twin systems are largely reacti…
SafeGPT: Preventing Data Leakage and Unethical Outputs in Enterprise LLM Use
Pratyush Desai, Luoxi Tang, Yuqiao Meng +1
Large Language Models (LLMs) are transforming enterprise workflows but introduce security and ethics challenges when employees inadvertently share confidential data or generate pol…
RiskBridge: Turning CVEs into Business-Aligned Patch Priorities
Yelena Mujibur Sheikh, Awez Akhtar Khatik, Luoxi Tang +2
Enterprises are confronted with an unprecedented escalation in cybersecurity vulnerabilities, with thousands of new CVEs disclosed each month. Conventional prioritization framework…