COBRA-GCN: Contrastive Learning to Optimize Binary Representation Analysis with Graph Convolutional Networks-Reference-Cited by-同舟云学术

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COBRA-GCN: Contrastive Learning to Optimize Binary Representation Analysis with Graph Convolutional Networks

Published:2022 Issue: Volume: Page:53-74
ISSN:0302-9743
Container-title:Detection of Intrusions and Malware, and Vulnerability Assessment
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Author:

Wang Michael,Interrante-Grant Alexander,Whelan Ryan,Leek Tim

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-09484-2_4

Reference59 articles.

1. https://www.zynamics.com/bindiff.html

2. https://gcc.gnu.org/onlinedocs/gcc/Optimize-Options.html

3. Android ndk. https://github.com/android/ndk-samples. Accessed 30 Sept 2010

4. Google Code Jam. https://codingcompetitions.withgoogle.com/codejam. Accessed 30 Sept 2010

5. Vcpkg. https://github.com/microsoft/vcpkg. Accessed 30 Sept 2010

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Approach for the Optimization of Machine Learning Models for Calculating Binary Function Similarity;Lecture Notes in Computer Science;2024

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