Technical Briefing on Deep Neural Network Repair

Paolo Arcaini, Fuyuki Ishikawa, Lei Ma, Yuta Maezawa, Nobukazu Yoshioka, Fuyuan Zhang

Abstract: Deep Neural Networks (DNNs) are used for different tasks in many domains, some safety critical like autonomous driving. When in operation, the DNN could misbehave on some inputs unseen during training. DNN repair is a new emerging technique that tries to improve the DNN to fix these misbehaviours, without affecting the correct behaviours. The technical briefing will give an overview of the different DNN repair techniques that have been proposed in the literature, that differ in the faults they target, the way to localise them, and the technical approach they employ to modify the network. Moreover, the technical briefing will also demonstrate the usage of some of these DNN repair techniques.