Summary
NNV3 introduces verification methods for weight perturbations, video and volumetric inputs, graph neural networks and probabilistic reachability. Its new benchmarks cover malware detection, power systems, medical imaging, time series and action recognition.
Why it matters
Formal verification remains one of the few approaches that can provide guarantees about safety-critical learning systems beyond empirical test performance.
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