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Center, Artificial Intelligence Research (AIR), Mines University of North Dakota
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Malware analysis just got a new tool: S4 models unlock long-range dependency detection in execution flows, outperforming traditional deep learning for multi-class classification.
A novel hybrid deep learning approach achieves robust few-shot malware detection by leveraging autoencoder-derived features for rapid meta-learning adaptation.
