Callee: Recovering Call Graphs for Binaries with Transfer and Contrastive Learning. (arXiv:2111.01415v3 [cs.SE] UPDATED)

Recovering binary programs' call graphs is crucial for inter-procedural
analysis tasks and applications based on them.transfer One of the core
challenges is recognizing targets of indirect calls (i.e., indirect callees).
Existing solutions all have high false positives and negatives, making call
graphs inaccurate. In this paper, we propose a new solution Callee combining
transfer learning and contrastive learning. The key insight is that, deep
neural networks (DNNs) can automatically identify patterns concerning indirect
calls, which can be more efficient than …

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