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Found 2 papers, 1 papers with code
BinBert: Binary Code Understanding with a Fine-tunable and Execution-aware Transformer
An instruction embedding model is a neural network that transforms sequences of assembly instructions into embedding vectors.
In Nomine Function: Naming Functions in Stripped Binaries with Neural Networks
We investigate the applicability of tine-tuning (i. e., taking a model already trained on a large generic corpora and retraining it for a specific task).
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