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Ojas Nimase

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#machine learning May 2026

Can Subgraph Explanations Be Weaponized to Steal Graph Neural Networks?

This work presents the first model extraction attack specifically designed for graph classification under strict black-box constraints, which uses model explanation outputs to guide Monte Carlo edge sensitivity estimation toward decision boundaries, with Hoeffding concentration guarantees on estimation accuracy.

Ojas Nimase, Jia-Te Li, Yuelei Zhao et al. · arXiv.org · 0 citations