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- Sakni-Tasnim/malware-detector-tensorflow
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- tabular-classification
malware-ml
Malware Detector TensorFlow — Deep Learning Binary Classifier
Uploaded to Hugging Face by Sakni-Tasnim — TensorFlow malware detector with Gradio demo, tagged for binary classification on tabular malware features.
What Is This?
Uploaded to Hugging Face by Sakni-Tasnim. malware-detector-tensorflow is a deep learning binary classifier for malware detection, packaged with Gradio for interactive inference on tabular feature inputs.
Metadata
| Field | Value |
|---|---|
| Author | Sakni-Tasnim |
| Framework | TensorFlow |
| Pipeline | tabular-classification |
| UI | Gradio |
| License | MIT |
Why It Might Matter
Classical feature-based malware ML persists alongside LLM hype. This model type matters for:
- Fast inference on PE metadata without GPU token generation
- Interpretability — SHAP/feature importance on tabular inputs vs. black-box LLMs
- SOC integration — lightweight scoring before sandbox detonation
Evaluation Notes
Key questions before adoption:
- What feature schema does the model expect? (imports, entropy, section counts?)
- Training corpus vintage — generalization to 2026 packers?
- False positive tolerance for enterprise deployment
Attribution
Open-source model indexed for security research inquiry. Uploaded to Hugging Face by Sakni-Tasnim.