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DeepFuzzer is research project aimed at generating valid CPS models such that it could be used to test CPS tool chains and compiler such as Simulink. Using this project you can train your training corpus and generate random samples for fuzzing. Currently the project is an extension of Clgen. If you are interested in a bare minimal project that can be used to train your corpus, refer to Support for other programming language with DeepFuzzer.
Want to contribute? Great! DeepFuzzer uses python + Tensorflow + keras for fast developing.
Todos
Write MORE Tests
Add MORE Preprocessors for Mdl files
Change the sampling technique