Griffin Higgins

17 papers Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Routing-Aware Explanations for Mixture of Experts Graph Models in Malware Detection.
CoRR
Hossein Shokouhi-Nejad, Roozbeh Razavi-Far, Griffin Higgins, Ali A. Ghorbani
2026 J jnl
Transparent Malware Detection With Granular Assembly Flow Explainability via Graph Neural Networks.
CoRR
Griffin Higgins, Roozbeh Razavi-Far, Hossein Shokouhi-Nejad, Ali A. Ghorbani
2025 — conf
A Research and Development Portfolio of GNN Centric Malware Detection, Explainability, and Dataset Curation.
ICDM (Workshops)
Hossein Shokouhi-Nejad, Griffin Higgins, Roozbeh Razavi-Far, Ali A. Ghorbani
2025 J jnl
A Research and Development Portfolio of GNN Centric Malware Detection, Explainability, and Dataset Curation.
CoRR
Hossein Shokouhi-Nejad, Griffin Higgins, Roozbeh Razavi-Far, Ali A. Ghorbani
2025 J jnl
A survey on Deep Learning in Edge-Cloud Collaboration: Model partitioning, privacy preservation, and prospects.
Knowl. Based Syst.
Xichen Zhang, Roozbeh Razavi-Far, Haruna Isah, Amir David, Griffin Higgins, Michael Zhang
2025 J jnl
Dual Explanations via Subgraph Matching for Malware Detection.
CoRR
Hossein Shokouhi-Nejad, Roozbeh Razavi-Far, Griffin Higgins, Ali A. Ghorbani
2025 J jnl
Enhancing GNN Explanations for Malware Detection with Dual Subgraph Matching.
Mach. Learn. Knowl. Extr.
Hossein Shokouhi-Nejad, Roozbeh Razavi-Far, Griffin Higgins, Ali A. Ghorbani
2025 J jnl
Explainable Attention-Guided Stacked Graph Neural Networks for Malware Detection.
CoRR
Hossein Shokouhi-Nejad, Roozbeh Razavi-Far, Griffin Higgins, Ali A. Ghorbani
2025 J jnl
Explainable malware detection through integrated graph reduction and learning techniques.
Big Data Res.
Hesamodin Mohammadian, Griffin Higgins, Samuel Ansong, Roozbeh Razavi-Far, Ali A. Ghorbani
2025 J jnl
On the Consistency of GNN Explanations for Malware Detection.
CoRR
Hossein Shokouhi-Nejad, Griffin Higgins, Roozbeh Razavi-Far, Hesamodin Mohammadian, Ali Akbar Ghorbani
2025 J jnl
On the consistency of GNN explanations for malware detection.
Inf. Sci.
Hossein Shokouhi-Nejad, Griffin Higgins, Roozbeh Razavi-Far, Hesamodin Mohammadian, Ali A. Ghorbani
2025 J jnl
Recent Advances in Malware Detection: Graph Learning and Explainability.
CoRR
Hossein Shokouhi-Nejad, Roozbeh Razavi-Far, Hesamodin Mohammadian, Mahdi Rabbani, Samuel Ansong, Griffin Higgins, Ali A. Ghorbani
2025 J jnl
Towards Privacy-Preserving Split Learning: Destabilizing Adversarial Inference and Reconstruction Attacks in the Cloud.
CoRR
Griffin Higgins, Roozbeh Razavi-Far, Xichen Zhang, Amir David, Ali A. Ghorbani, Tongyu Ge
2025 J jnl
Towards privacy-preserving split learning: Destabilizing adversarial inference and reconstruction attacks in the cloud.
Internet Things
Griffin Higgins, Roozbeh Razavi-Far, Xichen Zhang, Amir David, Ali A. Ghorbani, Tongyu Ge
2024 J jnl
Area in circle: A novel evaluation metric for object detection.
Knowl. Based Syst.
Xichen Zhang, Roozbeh Razavi-Far, Haruna Isah, Amir David, Griffin Higgins, Rongxing Lu, Ali A. Ghorbani
2024 J jnl
Explainable Malware Detection through Integrated Graph Reduction and Learning Techniques.
CoRR
Hesamodin Mohammadian, Griffin Higgins, Samuel Ansong, Roozbeh Razavi-Far, Ali A. Ghorbani
2024 J jnl
Node-Centric Pruning: A Novel Graph Reduction Approach.
Mach. Learn. Knowl. Extr.
Hossein Shokouhi-Nejad, Roozbeh Razavi-Far, Griffin Higgins, Ali A. Ghorbani