Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble
Table 7: Training hyperparameters for the text classification (BOW, CNN, and LSTM) models. The same values were used for all training settings (plain, data augmentation, and robust training).
['[BOLD] Hyperparameter', '[BOLD] Value']
All models are trained on cross-entropy loss, and their hyper-parameters are tuned on the validation sets.