Recent Advances in Malware Detection: Graph Learning and Explainability
Fuente:
arXiv
Saved in:
| Main Authors: | Shokouhinejad, Hossein, Razavi-Far, Roozbeh, Mohammadian, Hesamodin, Rabbani, Mahdi, Ansong, Samuel, Higgins, Griffin, Ghorbani, Ali A |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Explainable Malware Detection through Integrated Graph Reduction and Learning Techniques
by: Mohammadian, Hesamodin, et al.
Published: (2024)
by: Mohammadian, Hesamodin, et al.
Published: (2024)
On the Consistency of GNN Explanations for Malware Detection
by: Shokouhinejad, Hossein, et al.
Published: (2025)
by: Shokouhinejad, Hossein, et al.
Published: (2025)
Transparent Malware Detection With Granular Assembly Flow Explainability via Graph Neural Networks
by: Higgins, Griffin, et al.
Published: (2026)
by: Higgins, Griffin, et al.
Published: (2026)
Explainable Attention-Guided Stacked Graph Neural Networks for Malware Detection
by: Shokouhinejad, Hossein, et al.
Published: (2025)
by: Shokouhinejad, Hossein, et al.
Published: (2025)
Dual Explanations via Subgraph Matching for Malware Detection
by: Shokouhinejad, Hossein, et al.
Published: (2025)
by: Shokouhinejad, Hossein, et al.
Published: (2025)
A Research and Development Portfolio of GNN Centric Malware Detection, Explainability, and Dataset Curation
by: Shokouhinejad, Hossein, et al.
Published: (2025)
by: Shokouhinejad, Hossein, et al.
Published: (2025)
Routing-Aware Explanations for Mixture of Experts Graph Models in Malware Detection
by: Shokouhinejad, Hossein, et al.
Published: (2026)
by: Shokouhinejad, Hossein, et al.
Published: (2026)
Large Language Model (LLM) for Software Security: Code Analysis, Malware Analysis, Reverse Engineering
by: Jelodar, Hamed, et al.
Published: (2025)
by: Jelodar, Hamed, et al.
Published: (2025)
Towards Privacy-Preserving Split Learning: Destabilizing Adversarial Inference and Reconstruction Attacks in the Cloud
by: Higgins, Griffin, et al.
Published: (2025)
by: Higgins, Griffin, et al.
Published: (2025)
A Study on the Importance of Features in Detecting Advanced Persistent Threats Using Machine Learning
by: Hallaji, Ehsan, et al.
Published: (2025)
by: Hallaji, Ehsan, et al.
Published: (2025)
LLM Security and Safety: Insights from Homotopy-Inspired Prompt Obfuscation
by: Lazo, Luis, et al.
Published: (2026)
by: Lazo, Luis, et al.
Published: (2026)
TrustChain: A Blockchain Framework for Auditing and Verifying Aggregators in Decentralized Federated Learning
by: Hallaji, Ehsan, et al.
Published: (2025)
by: Hallaji, Ehsan, et al.
Published: (2025)
Privacy-Preserving for Images in Satellite Communications: A Comprehensive Review of Chaos-Based Encryption
by: Rashid, Farrukh Bin, et al.
Published: (2024)
by: Rashid, Farrukh Bin, et al.
Published: (2024)
Automated Malware Family Classification using Weighted Hierarchical Ensembles of Large Language Models
by: Bai, Samita, et al.
Published: (2026)
by: Bai, Samita, et al.
Published: (2026)
FedNIA: Noise-Induced Activation Analysis for Mitigating Data Poisoning in FL
by: Hallaji, Ehsan, et al.
Published: (2025)
by: Hallaji, Ehsan, et al.
Published: (2025)
A Study on Semi-Supervised Detection of DDoS Attacks under Class Imbalance
by: Hallaji, Ehsan, et al.
Published: (2025)
by: Hallaji, Ehsan, et al.
Published: (2025)
Decentralized Federated Learning: A Survey on Security and Privacy
by: Hallaji, Ehsan, et al.
Published: (2024)
by: Hallaji, Ehsan, et al.
Published: (2024)
Quantum Adversarial Machine Learning: From Classical Adaptations to Quantum-Native Methods
by: Razavi-Far, Roozbeh, et al.
Published: (2026)
by: Razavi-Far, Roozbeh, et al.
Published: (2026)
LLM4CodeRE: Generative AI for Code Decompilation Analysis and Reverse Engineering
by: Jelodar, Hamed, et al.
Published: (2026)
by: Jelodar, Hamed, et al.
Published: (2026)
Packed Malware Detection Using Grayscale Binary-to-Image Representations
by: Alkhateeb, Ehab, et al.
Published: (2025)
by: Alkhateeb, Ehab, et al.
Published: (2025)
Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic
by: Zeleke, Sileshi Nibret, et al.
Published: (2025)
by: Zeleke, Sileshi Nibret, et al.
Published: (2025)
Learning Joint Embeddings of Function and Process Call Graphs for Malware Detection
by: Aneja, Kartikeya, et al.
Published: (2025)
by: Aneja, Kartikeya, et al.
Published: (2025)
Explainability-Guided Adversarial Attacks on Transformer-Based Malware Detectors Using Control Flow Graphs
by: Wheeler, Andrew, et al.
Published: (2026)
by: Wheeler, Andrew, et al.
Published: (2026)
Explainable Android Malware Detection and Malicious Code Localization Using Graph Attention
by: Ipek, Merve Cigdem, et al.
Published: (2025)
by: Ipek, Merve Cigdem, et al.
Published: (2025)
A Comparison of Adversarial Learning Techniques for Malware Detection
by: Louthánová, Pavla, et al.
Published: (2023)
by: Louthánová, Pavla, et al.
Published: (2023)
Regression-aware Continual Learning for Android Malware Detection
by: Ghiani, Daniele, et al.
Published: (2025)
by: Ghiani, Daniele, et al.
Published: (2025)
A Survey of Malware Detection Using Deep Learning
by: Bensaoud, Ahmed, et al.
Published: (2024)
by: Bensaoud, Ahmed, et al.
Published: (2024)
TUANDROMD-X: Advanced Entropy and Visual Analytics Dataset for Enhanced Malware Detection and Classification
by: Borah, Parthajit, et al.
Published: (2026)
by: Borah, Parthajit, et al.
Published: (2026)
Efficient Malware Detection with Optimized Learning on High-Dimensional Features
by: Choudhary, Aditya, et al.
Published: (2025)
by: Choudhary, Aditya, et al.
Published: (2025)
Unraveling the Key of Machine Learning-based Android Malware Detection
by: Liu, Jiahao, et al.
Published: (2024)
by: Liu, Jiahao, et al.
Published: (2024)
Malware Detection based on API calls
by: Fellicious, Christofer, et al.
Published: (2025)
by: Fellicious, Christofer, et al.
Published: (2025)
DRMD: Deep Reinforcement Learning for Malware Detection under Concept Drift
by: McFadden, Shae, et al.
Published: (2025)
by: McFadden, Shae, et al.
Published: (2025)
Machine Learning Transferability for Malware Detection
by: Vieira, César, et al.
Published: (2026)
by: Vieira, César, et al.
Published: (2026)
Optimized Approaches to Malware Detection: A Study of Machine Learning and Deep Learning Techniques
by: Fahim, Abrar, et al.
Published: (2025)
by: Fahim, Abrar, et al.
Published: (2025)
Applying Graph Analysis for Unsupervised Fast Malware Fingerprinting
by: Karbab, ElMouatez Billah, et al.
Published: (2025)
by: Karbab, ElMouatez Billah, et al.
Published: (2025)
Cluster Analysis and Concept Drift Detection in Malware
by: Mishra, Aniket, et al.
Published: (2025)
by: Mishra, Aniket, et al.
Published: (2025)
LLM-Generated Samples for Android Malware Detection
by: Rollinson, Nik, et al.
Published: (2025)
by: Rollinson, Nik, et al.
Published: (2025)
Semantic Data Representation for Explainable Windows Malware Detection Models
by: Švec, Peter, et al.
Published: (2024)
by: Švec, Peter, et al.
Published: (2024)
Self-Supervised Learning for Android Malware Detection on a Time-Stamped Dataset
by: Fu, Annan, et al.
Published: (2026)
by: Fu, Annan, et al.
Published: (2026)
Optimization of Lightweight Malware Detection Models For AIoT Devices
by: Lo, Felicia, et al.
Published: (2024)
by: Lo, Felicia, et al.
Published: (2024)
Similar Items
-
Explainable Malware Detection through Integrated Graph Reduction and Learning Techniques
by: Mohammadian, Hesamodin, et al.
Published: (2024) -
On the Consistency of GNN Explanations for Malware Detection
by: Shokouhinejad, Hossein, et al.
Published: (2025) -
Transparent Malware Detection With Granular Assembly Flow Explainability via Graph Neural Networks
by: Higgins, Griffin, et al.
Published: (2026) -
Explainable Attention-Guided Stacked Graph Neural Networks for Malware Detection
by: Shokouhinejad, Hossein, et al.
Published: (2025) -
Dual Explanations via Subgraph Matching for Malware Detection
by: Shokouhinejad, Hossein, et al.
Published: (2025)