Fairness by Explicability and Adversarial SHAP Learning

James M. Hickey, Pietro G. Di Stefano, Vlasios Vasileiou. Fairness by Explicability and Adversarial SHAP Learning. In Frank Hutter, Kristian Kersting, Jefrey Lijffijt, Isabel Valera, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part III. Volume 12459 of Lecture Notes in Computer Science, pages 174-190, Springer, 2020. [doi]

@inproceedings{HickeySV20,
  title = {Fairness by Explicability and Adversarial SHAP Learning},
  author = {James M. Hickey and Pietro G. Di Stefano and Vlasios Vasileiou},
  year = {2020},
  doi = {10.1007/978-3-030-67664-3_11},
  url = {https://doi.org/10.1007/978-3-030-67664-3_11},
  researchr = {https://researchr.org/publication/HickeySV20},
  cites = {0},
  citedby = {0},
  pages = {174-190},
  booktitle = {Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part III},
  editor = {Frank Hutter and Kristian Kersting and Jefrey Lijffijt and Isabel Valera},
  volume = {12459},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-67664-3},
}