There is Limited Correlation between Coverage and Robustness for Deep
Neural Networks
There is Limited Correlation between Coverage and Robustness for Deep
Neural Networks
Deep neural networks (DNN) are increasingly applied in safety-critical systems, e.g., for face recognition, autonomous car control and malware detection. It is also shown that DNNs are subject to attacks such as adversarial perturbation and thus must be properly tested. Many coverage criteria for DNN since have been proposed, inspired …