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Quarkslab open-sources pcode_graph for binary ML analysis

By PulseAugur Editorial · [1 sources] ·

Quarkslab has open-sourced pcode_graph, a Python library designed to facilitate machine learning on binary code. This library extracts semantic graphs from binaries, making it easier to train Graph Neural Networks (GNNs). The project was introduced by etham and aims to simplify the process of applying GNNs to binary analysis. AI

IMPACT Simplifies the application of Graph Neural Networks to binary code analysis for security and other applications.

RANK_REASON Open-source release of a specialized library for ML on binary code.

Read on Mastodon — sigmoid.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Quarkslab open-sources pcode_graph for binary ML analysis

COVERAGE [1]

  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    Doing Machine Learning on binary code? We've just open-sourced pcode_graph, a Python library that extracts semantic graphs from binaries to make training Graph

    Doing Machine Learning on binary code? We've just open-sourced pcode_graph, a Python library that extracts semantic graphs from binaries to make training Graph Neural Networks easier. @ etham introduces it here: https:// blog.quarkslab.com/from-p-code -to-gnn-extract-binary-code-…

    LINKS piaille.fr/@etham blog.quarkslab.com/from-p-code-to-gnn-ext…

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