# LLM-FS: Zero-Shot Feature Selection for Effective and Interpretable Malware Detection

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/llm-fs-zero-shot-feature-selection-for-effective-and-interpretable-malware/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Naveen Gill,Ajvad Haneef K,Madhu Kumar S D |
| Citations | 0 |
| DOI | 10.48550/arxiv.2602.09634 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OpenAlex ID | https://openalex.org/W7128626338 |
| Type | article |
| Year | 2026 |

## Paper authors

- [Naveen Gill](https://scholariq.org/researchers/naveen-gill/)

## Paper journal

- [Open MIND](https://scholariq.org/journals/open-mind/)

## Paper primary topic

- [Advanced Malware Detection Techniques](https://scholariq.org/topics/advanced-malware-detection-techniques/)

## Paper topics

- [Advanced Malware Detection Techniques](https://scholariq.org/topics/advanced-malware-detection-techniques/)
- [Explainable Artificial Intelligence (XAI)](https://scholariq.org/topics/explainable-artificial-intelligence-xai/)
- [Adversarial Robustness in Machine Learning](https://scholariq.org/topics/adversarial-robustness-in-machine-learning/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.