Trained models and testing datasets used in "Approach for the optimization of machine learning models for calculating binary function similarity"
dataset
posted on 2024-07-12, 17:57 authored by Suguru HorimotoSuguru Horimoto, Keane LucasKeane Lucas, Ljudevit BauerLjudevit BauerThis repository contains some trained multi-architecture models and testing datasets for multi-architecture models for the following paper:
Suguru Horimoto, Keane Lucas, and Lujo Bauer. Approach for the optimization of machine learning models for calculating binary function similarity. In Proceedings of the 21st Conference on Detection of Intrusions and Malware & Vulnerability Assessment (DIMVA '24), 2024.
In order to use the models and the datasets, please follow the instructions on https://github.com/sgr-ht/mam-for-cbfs