Plausible Counterfactuals: Auditing Deep Learning Classifiers with Realistic Adversarial Examples

Alejandro Barredo Arrieta, Javier Del Ser. Plausible Counterfactuals: Auditing Deep Learning Classifiers with Realistic Adversarial Examples. In 2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020. pages 1-7, IEEE, 2020. [doi]

@inproceedings{ArrietaS20,
  title = {Plausible Counterfactuals: Auditing Deep Learning Classifiers with Realistic Adversarial Examples},
  author = {Alejandro Barredo Arrieta and Javier Del Ser},
  year = {2020},
  doi = {10.1109/IJCNN48605.2020.9206728},
  url = {https://doi.org/10.1109/IJCNN48605.2020.9206728},
  researchr = {https://researchr.org/publication/ArrietaS20},
  cites = {0},
  citedby = {0},
  pages = {1-7},
  booktitle = {2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-6926-2},
}