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News/Exact and Asymptotically Complete Robust Verifications of Neural Networks via Ising Solvers
arxiv
PublishedJuly 31, 2026 at 4:00 AM
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Exact and Asymptotically Complete Robust Verifications of Neural Networks via Ising Solvers

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arXiv:2603.00408v3 Announce Type: replace Abstract: We present an Ising-compatible framework for formal neural-network robustness verification under bounded input perturbations. For piecewise-linear activations, the Exact Logarithmic PWL Model (Log-PWL) provides an exact, sound, and complete formula

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