Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis 2023
DOI: 10.1145/3597926.3598045
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Semantic-Based Neural Network Repair

Abstract: Recently, neural networks have spread into numerous fields including many safety-critical systems. Neural networks are built (and trained) by programming in frameworks such as TensorFlow and PyTorch. Developers apply a rich set of pre-defined layers to manually program neural networks or to automatically generate them (e.g., through AutoML). Composing neural networks with different layers is error-prone due to the non-trivial constraints that must be satisfied in order to use those layers. In this work, we pro… Show more

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Cited by 3 publications
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