FUSION: Measuring Binary Function Similarity with Code-Specific Embedding and Order-Sensitive GNN
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DOI: 10.3390/sym14122549
Abstract: Binary code similarity measurement is a popular research area in binary analysis with the recent development of deep learning-based models. Current state-of-the-art methods often use the pre-trained language model (PTLM) to embed instructions into basic… read more here.
Keywords: gnn; similarity; function similarity; order sensitive ... See more keywords