Titlebook: Verification, Model Checking, and Abstract Interpretation; 24th International C Cezara Dragoi,Michael Emmi,Jingbo Wang Conference proceedin

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Maximal Robust Neural Network Specifications via Oracle-Guided Numerical Optimization,5.1x than prior works. On a two-dimensional dataset, we show that the average diameter of its specifications is 93% of the optimal average diameter, whereas the diameter of prior works’ specifications is only 26%.

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,Solving Constrained Horn Clauses over Algebraic Data Types,tations that are recursion-free at the highest level and have function calls. We have implemented the approach in a new CHC solver called .. Our algorithm relies on an external automated theorem prover to conduct proofs by structural induction, as opposed to a black-box constrained solver. With two

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,ARENA: Enhancing Abstract Refinement for Neural Network Verification,series of experiments. These experiments show that ARENA yields significantly better verification precision compared to the existing abstract-refinement-based tool DeepSRGR. It also identifies falsification by detecting adversarial examples, with reasonable execution efficiency. Lastly, it verifies

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