Deep neural networks (DNNs) are increasingly finding use in a variety of real-world applications, including speech recognition, image processing, and natural language processing. However, in terms of test data quality and model robustness, there is currently a lack of tool support for DNN testing.
Currently most of the works are focused on DL models, how to increase accuracy etc. Now it is the time to test the quality of the DL model.
Student will be learn the internals of DL models and mutation testing. It can be used for testing DL applications.
Deep learning algorithm, Python, testing
Neural Networks, Software Engineering
1. DeepMutation: Mutation Testing of Deep Learning Systems
2. DeepMutation++: A Mutation Testing Framework for Deep Learning Systems
