Skip to content

Author

Guanhua Yan

We have 3 of 8 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Detection and Explanation of PowerShell Malware with Large Language Models

The application of LLMs for detecting malicious PowerShell scripts and producing human-interpretable explanations for their classification decisions are investigated, showing that LLMs are capable of identifying and explaining malicious PowerShell scripts, although performance varies across different models.

Meng Wang, Emma Topolovec, B. Arana et al. · 0 citations

LADE: LLM-Assisted Advanced Persistent Threat Detection and Explanation

Experimental results show that LLMs, when guided by rubric-based prompts and supplemented with ATT&CK domain knowledge, achieve robust performance across detection, localization, and TTP mapping tasks.

Joon-Young Gwak, Aubrey Strier, Zhaohan Xi et al. · 1 citation

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.