A Lean Transformer Model for Dynamic Malware Analysis and Detection
Fuente:
arXiv
Saved in:
| Main Authors: | Quertier, Tony, Marais, Benjamin, Barrué, Grégoire, Morucci, Stéphane, Azé, Sévan, Salladin, Sébastien |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Semantic Preprocessing for LLM-based Malware Analysis
by: Marais, Benjamin, et al.
Published: (2025)
by: Marais, Benjamin, et al.
Published: (2025)
Use of Multi-CNNs for Section Analysis in Static Malware Detection
by: Quertier, Tony, et al.
Published: (2024)
by: Quertier, Tony, et al.
Published: (2024)
Layered Uploading for Quantum Convolutional Neural Networks
by: Barrué, Grégoire, et al.
Published: (2024)
by: Barrué, Grégoire, et al.
Published: (2024)
Optimized Deep Learning Models for Malware Detection under Concept Drift
by: Maillet, William, et al.
Published: (2023)
by: Maillet, William, et al.
Published: (2023)
Android Malware Detection: A Machine Leaning Approach
by: Abdulla, Hasan
Published: (2025)
by: Abdulla, Hasan
Published: (2025)
Cluster Analysis and Concept Drift Detection in Malware
by: Mishra, Aniket, et al.
Published: (2025)
by: Mishra, Aniket, et al.
Published: (2025)
Nebula: Self-Attention for Dynamic Malware Analysis
by: Trizna, Dmitrijs, et al.
Published: (2023)
by: Trizna, Dmitrijs, et al.
Published: (2023)
Optimization of Lightweight Malware Detection Models For AIoT Devices
by: Lo, Felicia, et al.
Published: (2024)
by: Lo, Felicia, et al.
Published: (2024)
Malware Detection based on API calls
by: Fellicious, Christofer, et al.
Published: (2025)
by: Fellicious, Christofer, et al.
Published: (2025)
A Comparison of Selected Image Transformation Techniques for Malware Classification
by: Agrawal, Rishit, et al.
Published: (2025)
by: Agrawal, Rishit, et al.
Published: (2025)
Adversarial Co-Evolution of Malware and Detection Models: A Bilevel Optimization Perspective
by: Jurečková, Olha, et al.
Published: (2026)
by: Jurečková, Olha, et al.
Published: (2026)
A Survey of Malware Detection Using Deep Learning
by: Bensaoud, Ahmed, et al.
Published: (2024)
by: Bensaoud, Ahmed, et al.
Published: (2024)
A Comparison of Adversarial Learning Techniques for Malware Detection
by: Louthánová, Pavla, et al.
Published: (2023)
by: Louthánová, Pavla, et al.
Published: (2023)
A Transformer-Based Framework for Payload Malware Detection and Classification
by: Stein, Kyle, et al.
Published: (2024)
by: Stein, Kyle, et al.
Published: (2024)
LLM-Generated Samples for Android Malware Detection
by: Rollinson, Nik, et al.
Published: (2025)
by: Rollinson, Nik, et al.
Published: (2025)
XAI and Android Malware Models
by: Kulkarni, Maithili, et al.
Published: (2024)
by: Kulkarni, Maithili, et al.
Published: (2024)
On Benchmarking Code LLMs for Android Malware Analysis
by: He, Yiling, et al.
Published: (2025)
by: He, Yiling, et al.
Published: (2025)
Recent Advances in Malware Detection: Graph Learning and Explainability
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)
Regression-aware Continual Learning for Android Malware Detection
by: Ghiani, Daniele, et al.
Published: (2025)
by: Ghiani, Daniele, et al.
Published: (2025)
Trident: Improving Malware Detection with LLMs and Behavioral Features
by: Saul, Rebecca, et al.
Published: (2026)
by: Saul, Rebecca, et al.
Published: (2026)
On the Robustness of Malware Detectors to Adversarial Samples
by: Salman, Muhammad, et al.
Published: (2024)
by: Salman, Muhammad, et al.
Published: (2024)
Applying Graph Analysis for Unsupervised Fast Malware Fingerprinting
by: Karbab, ElMouatez Billah, et al.
Published: (2025)
by: Karbab, ElMouatez Billah, 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)
Label-efficient Training Updates for Malware Detection over Time
by: Minnei, Luca, et al.
Published: (2026)
by: Minnei, Luca, et al.
Published: (2026)
Evasion of IoT Malware Detection via Dummy Code Injection
by: Zargarzadeh, Sahar, et al.
Published: (2026)
by: Zargarzadeh, Sahar, et al.
Published: (2026)
Assessing Cyclostationary Malware Detection via Feature Selection and Classification
by: Nkongolo, Mike
Published: (2023)
by: Nkongolo, Mike
Published: (2023)
Understanding Concept Drift with Deprecated Permissions in Android Malware Detection
by: Sabbah, Ahmed, et al.
Published: (2025)
by: Sabbah, Ahmed, et al.
Published: (2025)
Efficient Malware Detection with Optimized Learning on High-Dimensional Features
by: Choudhary, Aditya, et al.
Published: (2025)
by: Choudhary, Aditya, et al.
Published: (2025)
Understanding Malware Propagation Dynamics through Scientific Machine Learning
by: Pappu, Karthik, et al.
Published: (2025)
by: Pappu, Karthik, et al.
Published: (2025)
LAMDA: A Longitudinal Android Malware Benchmark for Concept Drift Analysis
by: Haque, Md Ahsanul, et al.
Published: (2025)
by: Haque, Md Ahsanul, et al.
Published: (2025)
ADAPT: A Pseudo-labeling Approach to Combat Concept Drift in Malware Detection
by: Alam, Md Tanvirul, et al.
Published: (2025)
by: Alam, Md Tanvirul, et al.
Published: (2025)
Transfer Learning in Pre-Trained Large Language Models for Malware Detection Based on System Calls
by: Sánchez, Pedro Miguel Sánchez, et al.
Published: (2024)
by: Sánchez, Pedro Miguel Sánchez, et al.
Published: (2024)
Adversarial Malware Generation in Linux ELF Binaries via Semantic-Preserving Transformations
by: Hrdonka, Lukáš, et al.
Published: (2026)
by: Hrdonka, Lukáš, et al.
Published: (2026)
Android Malware Detection Based on RGB Images and Multi-feature Fusion
by: Wang, Zhiqiang, et al.
Published: (2024)
by: Wang, Zhiqiang, et al.
Published: (2024)
Explainable Malware Detection through Integrated Graph Reduction and Learning Techniques
by: Mohammadian, Hesamodin, et al.
Published: (2024)
by: Mohammadian, Hesamodin, et al.
Published: (2024)
DRMD: Deep Reinforcement Learning for Malware Detection under Concept Drift
by: McFadden, Shae, et al.
Published: (2025)
by: McFadden, Shae, 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)
Towards Certified Malware Detection: Provable Guarantees Against Evasion Attacks
by: Giri, Nandakrishna, et al.
Published: (2026)
by: Giri, Nandakrishna, et al.
Published: (2026)
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)
Similar Items
-
Semantic Preprocessing for LLM-based Malware Analysis
by: Marais, Benjamin, et al.
Published: (2025) -
Use of Multi-CNNs for Section Analysis in Static Malware Detection
by: Quertier, Tony, et al.
Published: (2024) -
Layered Uploading for Quantum Convolutional Neural Networks
by: Barrué, Grégoire, et al.
Published: (2024) -
Optimized Deep Learning Models for Malware Detection under Concept Drift
by: Maillet, William, et al.
Published: (2023) -
Android Malware Detection: A Machine Leaning Approach
by: Abdulla, Hasan
Published: (2025)