12 citations · 12 across the 2 of their papers we have counts for
2 papers
cs.CR2022
BinBert: Binary Code Understanding with a Fine-tunable and Execution-aware Transformer
Fiorella Artuso, Marco Mormando, Giuseppe A. Di Luna +1
A recent trend in binary code analysis promotes the use of neural solutions based on instruction embedding models. An instruction embedding model is a neural network that transform…
cs.LG2019★ 12 cited
In Nomine Function: Naming Functions in Stripped Binaries with Neural Networks
Fiorella Artuso, Giuseppe Antonio Di Luna, Luca Massarelli +1
In this paper we investigate the problem of automatically naming pieces of assembly code. Where by naming we mean assigning to an assembly function a string of words that would lik…