Partition-Matched Evaluation of Community Features under Distribution Shift in Android Malware Function-Call Graphs

arXiv:2609.25256 · cs.CR · Submitted 2026-09-21 · Read on arXiv

cs.CR

Submitted: 2026-09-21

Updated: 2026-09-21

Comments: 6 pages, 1 figure, 3 tables

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Modularity — 19× in this paper · explained in 9 episodes
• Alignment — 12× in this paper · explained in 1 episode
• Benchmark — 11× in this paper · explained in 2 episodes
• Accuracy — 7× in this paper · explained in 1 episode
• Adaptation — 6× in this paper · explained in 1 episode
• Distribution Shift — 4× in this paper · explained in 5 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Wasserstein Distance — 3× in this paper · explained in 4 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Abstraction — 2× in this paper · explained in 1 episode
• Embeddings — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Structural Control — 2× in this paper · explained in 2 episodes
• AUROC — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Sparsity — 1× in this paper · explained in 4 episodes

Sources

• Evaluating Out-of-Distribution Robustness in Graph-Based Android Malware Classification: A New Principled Benchmark
• Graph Neural Network-based Android Malware Classification with Jumping Knowledge
• A simple yet effective baseline for non-attributed graph classification

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