Griffin Higgins

CoRR, February, 2026

Transparent Malware Detection With Granular Assembly Flow Explainability via Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, January, 2026

Dual explanations via subgraph matching for malware detection.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2026

2025

Explainable Attention-Guided Stacked Graph Neural Networks for Malware Detection.

[BibT_eX]

[DOI]

CoRR, August, 2025

Recent Advances in Malware Detection: Graph Learning and Explainability.

[BibT_eX]

[DOI]

Hesamodin Mohammadian

CoRR, February, 2025

Enhancing GNN Explanations for Malware Detection with Dual Subgraph Matching.

[BibT_eX]

[DOI]

Mach. Learn. Knowl. Extr., 2025

A survey on Deep Learning in Edge-Cloud Collaboration: Model partitioning, privacy preservation, and prospects.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2025

On the consistency of GNN explanations for malware detection.

[BibT_eX]

[DOI]

Hesamodin Mohammadian

Inf. Sci., 2025

Towards privacy-preserving split learning: Destabilizing adversarial inference and reconstruction attacks in the cloud.

[BibT_eX]

[DOI]

Internet Things, 2025

Explainable malware detection through integrated graph reduction and learning techniques.

[BibT_eX]

[DOI]

Hesamodin Mohammadian

Big Data Res., 2025

A Research and Development Portfolio of GNN Centric Malware Detection, Explainability, and Dataset Curation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2025

2024

Node-Centric Pruning: A Novel Graph Reduction Approach.

[BibT_eX]

[DOI]