FlowMalTrans uses normalizing flows to map basic blocks across ISAs, letting a single X86-64-trained malware detector handle code from six other architectures.
Finding the Optimal Vocabulary Size for Neural Machine Translation
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abstract
We cast neural machine translation (NMT) as a classification task in an autoregressive setting and analyze the limitations of both classification and autoregression components. Classifiers are known to perform better with balanced class distributions during training. Since the Zipfian nature of languages causes imbalanced classes, we explore its effect on NMT. We analyze the effect of various vocabulary sizes on NMT performance on multiple languages with many data sizes, and reveal an explanation for why certain vocabulary sizes are better than others.
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FlowMalTrans: Unsupervised Binary Code Translation for Malware Detection Using Flow-Adapter Architecture
FlowMalTrans uses normalizing flows to map basic blocks across ISAs, letting a single X86-64-trained malware detector handle code from six other architectures.