Can Subgraph Explanations Be Weaponized to Steal Graph Neural Networks?

In three linesFirst model extraction attack targeting graph neural networks exploiting explainability interfaces. Method uses binary explanation masks and Monte Carlo edge sensitivity estimation to bypass strict black-box constraints. Code released on GitHub.

Summary generated by Claude — human-verified