CEBin proposes a cost-effective framework that combines embedding-based and comparison-based approaches to enhance accuracy while minimizing overheads in large-scale binary code similarity detection.
CEBin proposes a cost-effective framework that combines embedding-based and comparison-based approaches to enhance accuracy in large-scale binary code similarity detection.