zh_nlp_adversarial_examples

Generating Natural Language Adversarial Examples for Chinese NLI model

0. Prepare the counter_fitted_vectors

Collecting Chinese synonyms and antonyms word pairs

Train Chinese counter-fitted vectors by using https://github.com/nmrksic/counter-fitting

1. Build the vocabulary and embeddings matrix.

python build_embeddings.py

That will take like a minute, and it will tokenize the dataset and save it to a pickle file. It will also compute some auxiliary files like the matrix of the vector embeddings for words in our dictionary. All files will be saved under aux_files directory created by this script.

2. Train the NLI model.

python train_model.py

3. Pre-compute the distances between embeddings of different words (required to do the attack) and save the distance matrix.

python compute_dist_mat.py 

4. Now, we are ready to try some attacks ! You can do so by running the AttackDemo.ipynb jupyter notebook !