Evaluating Out-of-Distribution Robustness in Graph-Based Android Malware Classification: A New Principled Benchmark
A semantic enrichment framework that extends raw graph topology with function-level attributes, combining lightweight metadata with LLM-based code embeddings is proposed, with which classification performs better under distribution shift compared to model-based approaches, and consistently further enhances robustness w...