Stress-Testing Structure-Aware Calibration of Malware Graph Neural Networks under Type Shift

arXiv:2609.28517 · cs.CR · Submitted 2026-09-22 · Read on arXiv

cs.CR

Submitted: 2026-09-22

Updated: 2026-09-22

Terminology

Calibration — 65× in this paper · explained in 7 episodes
Accuracy — 5× in this paper · explained in 1 episode
Benchmark — 3× in this paper · explained in 2 episodes
Regularization — 3× in this paper · explained in 3 episodes
Adversarial Examples — 2× in this paper · explained in 2 episodes
Concept Drift — 2× in this paper · explained in 4 episodes
Covariate Shift — 2× in this paper · explained in 2 episodes
Distribution Shift — 2× in this paper · explained in 6 episodes
GNNs — 2× in this paper · explained in 2 episodes
Modularity — 2× in this paper · explained in 9 episodes
Representation Learning — 2× in this paper · explained in 2 episodes
Sparsity — 2× in this paper · explained in 4 episodes
Trace — 2× in this paper · explained in 2 episodes
AUROC — 1× in this paper · explained in 2 episodes
Abstention — 1× in this paper · explained in 1 episode
Adam — 1× in this paper · explained in 2 episodes
Adaptation — 1× in this paper · explained in 1 episode
Aggregation — 1× in this paper · explained in 1 episode
Clustering — 1× in this paper · explained in 2 episodes
Domain Adaptation — 1× in this paper · explained in 5 episodes
Graph Construction — 1× in this paper · explained in 3 episodes
Graph Neural Networks (GNNs) — 1× in this paper · explained in 7 episodes
Structural Control — 1× in this paper · explained in 2 episodes

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