GraphMoCo: A graph momentum contrast model for large-scale binary function representation learning-Reference-Cited by-同舟云学术

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GraphMoCo: A graph momentum contrast model for large-scale binary function representation learning

Published:2024-03 Issue: Volume:575 Page:127273
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Sun Runjin,Guo Shize,Guo Jinhong,Li Wei,Zhang Xingyu,Guo Xi,Pan Zhisong

Publisher

Elsevier BV

Reference47 articles.

1. A Process of Penetration Testing Using Various Tools, Vol. 2023;Kongara,2023

2. Learning approximate execution semantics from traces for binary function similarity;Pei;IEEE Trans. Softw. Eng.,2023

3. SAFE: Self-attentive function embeddings for binary similarity;Massarelli,2019

4. Semantic-aware binary code representation with BERT;Koo,2021

5. Neural network-based graph embedding for cross-platform binary code similarity detection;Xu,2017

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