A Siamese denoising autoencoder with relation-aware embeddings classifies malware from entropy images, improving few-shot accuracy on two datasets, including under NOP obfuscation.
A few-shot meta-learning based siamese neural network using entropy features for ransomware classification,
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Relation-aware based Siamese Denoising Autoencoder for Malware Few-shot Classification
A Siamese denoising autoencoder with relation-aware embeddings classifies malware from entropy images, improving few-shot accuracy on two datasets, including under NOP obfuscation.