Khoi Tran Dang

Can we Defend Against the Unknown? An Empirical Study About Threshold Selection for Neural Network Monitoring

With the increasing use of neural networks in critical systems, runtime monitoring becomes essential to reject unsafe predictions during inference. Various techniques have emerged to establish rejection scores that maximize the separability between the distributions of safe and unsafe predictions. T…