Neural Network Verification using Partial Multi-Neuron Relaxation

ArXi:2605.30155v1 Announce Type: cross The increasing integration of deep neural networks in critical systems has spawned a theoretical and practical interest in formally guaranteeing safety properties about their behavior. To achieve this, contemporary verification algorithms rely on computing linear relaxations for a network's non-linear activation functions.