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About Image Classifier
This document proposes using metamorphic testing to identify implementation bugs in machine learning-based image classifiers. Metamorphic testing involves defining relationships between multiple outputs of a program for different but related inputs. The authors developed metamorphic relations for an image classifier based on support vector machines and a deep learning model. Empirical validation showed their approach was able to detect 71% of implementation bugs in the machine learning applications.
Detailed Information
| Author: | ['bscsf1611'] |
|---|---|
| Publication Year: | 2024 |
| Pages: | 11 |
| Language: | English |
| Format: | |
| Price: | FREE |
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