MAD-OOD: Deep Learning Framework for Out-of-Distribution Malware Detection
Published:Dec 19, 2025 14:02
•1 min read
•ArXiv
Analysis
The paper introduces MAD-OOD, a deep learning framework designed to detect and classify malware that falls outside of the training distribution. This is a significant contribution to cybersecurity, as it addresses the challenge of identifying novel or evolving malware threats.
Key Takeaways
Reference
“MAD-OOD is a deep learning cluster-driven framework for out-of-distribution malware detection and classification.”