Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems

Anupam Datta, Shayak Sen, Yair Zick. Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems. In IEEE Symposium on Security and Privacy, SP 2016, San Jose, CA, USA, May 22-26, 2016. pages 598-617, IEEE, 2016. [doi]

@inproceedings{DattaSZ16,
  title = {Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems},
  author = {Anupam Datta and Shayak Sen and Yair Zick},
  year = {2016},
  doi = {10.1109/SP.2016.42},
  url = {http://doi.ieeecomputersociety.org/10.1109/SP.2016.42},
  researchr = {https://researchr.org/publication/DattaSZ16},
  cites = {0},
  citedby = {0},
  pages = {598-617},
  booktitle = {IEEE Symposium on Security and Privacy, SP 2016, San Jose, CA, USA, May 22-26, 2016},
  publisher = {IEEE},
  isbn = {978-1-5090-0824-7},
}