Our experimental results indicate that Debin is practically useful: for x64, it predicts symbol names and types with 68.8% precision and 68.3% recall. We also�...

We present a novel approach for predicting debug information in stripped binaries. Using machine learning, we first train prob- abilistic models on thousands of�...

Our experimental results indicate that Debin is practically useful: for x64, it predicts symbol names and types with 68.8% precision and 68.3% recall. We also�...

DEBIN is a system that uses machine learning to recover debug information (eg, names and types) of stripped binaries (x86, x64, ARM).

DEBIN uses machine learning to recover debug information of stripped binaries (x86, x64, ARM). This is helpful for various binary analysis tasks such as�...

Jan 29, 2019 � We present a novel approach for predicting debug information in stripped binaries. Using ...
Duration: 26:33
Posted: Jan 29, 2019

An automated tool, called Debin, is implemented, which handles ELF binaries on three of the most popular architectures: x86, x64 and ARM, and it is shown�...

Debin is a tool to predict the debug information of stripped binaries. It only works reliable with C programs, as this is the only dataset it was trained on. It�...

Sep 30, 2023 � Bibliographic details on Debin: Predicting Debug Information in Stripped Binaries.

ABSTRACT. We present a novel approach for predicting debug information in stripped binaries. Using machine learning, we first train prob-.