AIREPAIR: A Repair Platform for Neural Networks
Xidan Song, Youcheng Sun, Mustafa Mustafa, Lucas Carvalho Cordeiro · 2023
We present AIREPAIR, a platform for repairing neural networks. It features the integration of existing network repair tools. Based on AIREPAIR, one can run different repair methods on the same model, thus enabling the fair compari-son of different repair techniques. In this paper, we evaluate AIREPAIR with five recent repair methods on popular deep-learning datasets and models. Our evaluation confirms the utility of AIREPAIR, by comparing and analyzing the results from different repair techniques. A demonstration is available at https://youtu.be/UkKw5neeWhw