MAD-OOD: Deep Learning Framework for Out-of-Distribution Malware Detection
Research#Malware🔬 Research|Analyzed: Jan 10, 2026 09:33•
Published: Dec 19, 2025 14:02
•1 min read
•ArXivAnalysis
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.
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View Original"MAD-OOD is a deep learning cluster-driven framework for out-of-distribution malware detection and classification."