Griffin Higgins

According to our database, Griffin Higgins authored at least 9 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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

Hossein Shokouhi-Nejad, Roozbeh Razavi-Far, Griffin Higgins, Ali A. Ghorbani

CoRR, August, 2025

Dual Explanations via Subgraph Matching for Malware Detection.

Hossein Shokouhi-Nejad, Roozbeh Razavi-Far, Griffin Higgins, Ali A. Ghorbani

CoRR, April, 2025

Recent Advances in Malware Detection: Graph Learning and Explainability.

Hossein Shokouhi-Nejad, Roozbeh Razavi-Far, Hesamodin Mohammadian, Mahdi Rabbani, Samuel Ansong, Griffin Higgins, Ali A. Ghorbani

CoRR, February, 2025

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

Xichen Zhang, Roozbeh Razavi-Far, Haruna Isah, Amir David, Griffin Higgins, Michael Zhang

Knowl. Based Syst., 2025

On the consistency of GNN explanations for malware detection.

Hossein Shokouhi-Nejad, Griffin Higgins, Roozbeh Razavi-Far, Hesamodin Mohammadian, Ali A. Ghorbani

Inf. Sci., 2025

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

Griffin Higgins, Roozbeh Razavi-Far, Xichen Zhang, Amir David, Ali A. Ghorbani, Tongyu Ge

Internet Things, 2025

2024

Node-Centric Pruning: A Novel Graph Reduction Approach.

Hossein Shokouhi-Nejad, Roozbeh Razavi-Far, Griffin Higgins, Ali A. Ghorbani

Mach. Learn. Knowl. Extr., 2024

Area in circle: A novel evaluation metric for object detection.

Xichen Zhang, Roozbeh Razavi-Far, Haruna Isah, Amir David, Griffin Higgins, Rongxing Lu, Ali A. Ghorbani

Knowl. Based Syst., 2024

Explainable Malware Detection through Integrated Graph Reduction and Learning Techniques.

Hesamodin Mohammadian, Griffin Higgins, Samuel Ansong, Roozbeh Razavi-Far, Ali A. Ghorbani

CoRR, 2024