@InProceedings{ebrahimi-lowd-dou:2018:C18-1,
  author    = {Ebrahimi, Javid  and  Lowd, Daniel  and  Dou, Dejing},
  title     = {On Adversarial Examples for Character-Level Neural Machine Translation},
  booktitle = {Proceedings of the 27th International Conference on Computational Linguistics},
  month     = {August},
  year      = {2018},
  address   = {Santa Fe, New Mexico, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {653--663},
  abstract  = {Evaluating on adversarial examples has become a standard procedure to measure robustness of deep learning models. Due to the difficulty of creating white-box adversarial examples for discrete text input, most analyses of the robustness of NLP models have been done through black-box adversarial examples. },
  url       = {http://www.aclweb.org/anthology/C18-1055}
}