1. Ballet, V., Renard, X., Aigrain, J., Laugel, T., Frossard, P., Detyniecki, M.: Imperceptible adversarial attacks on tabular data. arXiv preprint arXiv:1911.03274 (2019)
2. Kurakin, A., Goodfellow, I., Bengio, S.: Adversarial machine learning at scale. arXiv preprint arXiv:1611.01236 (2016)
3. Li, Y.: Are generative classifiers more robust to adversarial attacks? CoRR abs/1802.06552 (2018), https://arxiv.org/abs/1802.06552
4. Liu, X., Hsieh, C.: From adversarial training to generative adversarial networks. CoRR abs/1807.10454 (2018), https://arxiv.org/abs/1807.10454
5. Madry, A., Makelov, A., Schmidt, L., Tsipras, D., Vladu, A.: Towards deep learning models resistant to adversarial attacks. arXiv preprint arXiv:1706.06083 (2017)