Quantitative Input Influence
Accountable Information Use: Privacy and Fairness in Decision-Making Systems
Anupam Datta
Piotr Mardziel
(systems scientist)
Shayak Sen
Gihyuk Ko
(PhD student)
Sophia Kovaleva
(PhD student)
Klas Leino
(PhD student)
Samuel Yeom
(PhD student)
Caleb Kaiji Lu
(PhD student)
Emily Black
(PhD student)
Han Zhang
(PhD student)
Differential Privacy As Causal Property
M. C. Tschantz, S. Sen, A. Datta. Preprint, October 2017
Use Privacy in Data-Driven Systems: Theory and Experiments with Machine Learnt Programs
A. Datta, M. Fredrikson, G. Ko, P. Mardziel, S. Sen. In Proceedings of the ACM Conference on Computer and Communications Security (CCS), October 2017
Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems
A. Datta, S. Sen, Y. Zick. In Proceedings of IEEE Symposium of Security and Privacy (Oakland), May 2016
Automated Experiments on Ad Privacy Settings: A Tale of Opacity, Choice, and Discrimination
A. Datta, M. C. Tschantz, A. Datta. In Proceedings of Privacy Enhancing Technologies. Volume 2015, Issue 1, Pages 92–112.