FoMLAS 2022.- VPN: Verification of Poisoning in Neural Networks.- A Cascade of Checkers for Run-time Certification of Local Robustness.- CEG4N: Counter-Example Guided Neural Network Quantization Refinement .- Minimal Multi-Layer Modifications of Deep Neural Networks.- Differentiable Logics for Neural Network Training and Verification.- Neural Networks in Imandra: Matrix Representation as a Verification Choice.- Self-Correcting Neural Networks For Safe Classification.- Self-Correcting Neural Networks For Safe Classification.- NSV 2022.- Verified Numerical Methods for Ordinary Differential Equations.- Neural Network Precision Tuning Using Stochastic Arithmetic.- MLTL Multi-type (MLTLM): A Logic for Reasoning about Signals of Different Types.
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