Deep Text Classification Can be Fooled https://arxiv.org/abs/1704.08006
Towards Crafting Text Adversarial Samples https://arxiv.org/abs/1707.02812
Adversarial Training Methods for Semi-Supervised Text Classification https://arxiv.org/abs/1605.07725
Adversarial Examples for Evaluating Reading Comprehension Systems https://arxiv.org/abs/1707.07328
Crafting Adversarial Input Sequences for Recurrent Neural Networks https://arxiv.org/abs/1604.08275
Black-Box Attacks against RNN based Malware Detection Algorithms https://arxiv.org/abs/1705.08131
Exploring Adversarial Learning on Neural Network Models for Text Classification https://nlp.stanford.edu/courses/cs224n/2015/reports/20.pdf
Toward Controlled Generation of Text https://arxiv.org/abs/1703.00955
Improved Training of Wasserstein GANs https://arxiv.org/abs/1704.00028
Not yet tuned ..
Install pytorch/text
git clone https://github.com/pytorch/text
cd text
python3 setup.py install