Trabalho em anais de eventoOpen Access
AIREPAIR: A Repair Platform for Neural Networks
SONG, X.; SUN, Y.; MUSTAFA, M. O.; CORDEIRO, L. C
Resumo
Resumo
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
palavras-chave
Palavras-chave
neural network repairrepair toolsdeep learning modelsrobustnessadversarial robustness
Status
Published
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Trabalho em anais de evento