HIGHLIGHTS
- who: Guangming Liu and colleagues from the State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China have published the research: Codeformer: A GNN-Nested Transformer Model for Binary Code Similarity Detection, in the Journal: Electronics 2023, 12, 1722. of /2023/
- what: Although these methods are effective the existing methods still do not sufficiently learn the information of the binary To solve this problem the authors propose an iterative model of a graph neural network (GNN)-nested Transformer. The authors propose a generic framework called Codeformer to learn the graph embeddings of CFGs, which . . .
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