ngoctnq/malnet-features

Dataset Card for MalNet-Tiny Distribution Shift Benchmarks This dataset contains three datasets, MalNet-Tiny, MalNet-Tiny-Common and MalNet-Tiny-Distinct, designed to evaluate the robustness of graph-based Android malware classifiers under distribution shift. Derived from the MalNet-Tiny dataset, these benchmarks introduce specific partitions to simulate realistic covariate shift (intra-family) and domain (cross-family) shifts by enriching Function Call Graphs (FCGs) with… See the full description on the dataset page: https://huggingface.co/datasets/ngoctnq/malnet-features.

<iframe src="https://silytics.si/embed/item/a1f899ea-fbed-470c-8e8c-30cbc36ac948" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.