1 citations · 1 across the 15 of their papers we have counts for
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Polar: LLM-Powered Synthesis of Real-World Cyber Evidence for Prioritization and Mitigation
Luoxi Tang, Yuqiao Meng, Ankita Patra +3
Cyber threat analysis increasingly depends on evidence distributed across vendor advisories, vulnerability databases, and threat intelligence sources. Turning these fragmented obse…
Smart Privacy Policy Assistant: An LLM-Powered System for Transparent and Actionable Privacy Notices
Sriharshini Kalvakuntla, Luoxi Tang, Yuqiao Meng +1
Most users agree to online privacy policies without reading or understanding them, even though these documents govern how personal data is collected, shared, and monetized. Privacy…
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…
POLAR: Automating Cyber Threat Prioritization through LLM-Powered Assessment
Luoxi Tang, Yuqiao Meng, Ankita Patra +3
Large Language Models (LLMs) are intensively used to assist security analysts in counteracting the rapid exploitation of cyber threats, wherein LLMs offer cyber threat intelligence…
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…