29 citations · 58 across the 9 of their papers we have counts for
3 papers · 1 filter
Guided Reasoning in LLM-Driven Penetration Testing Using Structured Attack Trees
Katsuaki Nakano, Reza Fayyazi, Shanchieh Jay Yang +1
Recent advances in Large Language Models (LLMs) have driven interest in automating cybersecurity penetration testing workflows, offering the promise of faster and more consistent v…
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…
Michscan: Black-Box Neural Network Integrity Checking at Runtime Through Power Analysis
Robi Paul, Michael Zuzak
As neural networks are increasingly used for critical decision-making tasks, the threat of integrity attacks, where an adversary maliciously alters a model, has become a significan…