There are three datasets used in our experiments:
The code was tested with:
- python 3.6.5
- numpy 1.16.4
- tensorflow 1.8.0
- tensorflow-gpu 1.5.0
- pandas 0.23.0
- keras 2.2.0
- scikit-learn 0.19.1
- scipy 1.0.1
textcnn.py: one of the attacked models.train_orig.py: Training models with original database.heuristic_Genetic_algorithm.py: Attacking the models by the heuristic genetic algorithm (HGA).