25 citations · 41 across the 5 of their papers we have counts for
4 papers · 1 filter
Topological Attribution Distance (TAD): Revealing Segment-Level RAG Influence on LLM Output Geometry for Incident Log Analysis
Reza Fayyazi, Michael Zuzak, Shanchieh Jay Yang
Large Language Models (LLMs) are increasingly being deployed in cybersecurity operations to assist cybersecurity analysts with rapid decision-making against emerging threats. Howev…
LLM Embedding-based Attribution (LEA): Quantifying Source Contributions to Generative Model's Response for Vulnerability Analysis
Reza Fayyazi, Michael Zuzak, Shanchieh Jay Yang
Large Language Models (LLMs) are increasingly used for cybersecurity threat analysis, but their deployment in security-sensitive environments raises trust and safety concerns. With…
ProveRAG: Provenance-Driven Vulnerability Analysis with Automated Retrieval-Augmented LLMs
Reza Fayyazi, Stella Hoyos Trueba, Michael Zuzak +1
In cybersecurity, security analysts constantly face the challenge of mitigating newly discovered vulnerabilities in real-time, with over 300,000 vulnerabilities identified since 19…
Advancing TTP Analysis: Harnessing the Power of Large Language Models with Retrieval Augmented Generation
Reza Fayyazi, Rozhina Taghdimi, Shanchieh Jay Yang
Tactics, Techniques, and Procedures (TTPs) outline the methods attackers use to exploit vulnerabilities. The interpretation of TTPs in the MITRE ATT&CK framework can be challenging…