26 citations · 55 across the 10 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.IT2018★ 1 cited
On the Robustness of Information-Theoretic Privacy Measures and Mechanisms
Mario Diaz, Hao Wang, Flavio P. Calmon +1
Consider a data publishing setting for a dataset composed by both private and non-private features. The publisher uses an empirical distribution, estimated from i.i.d. samples,…
cs.IT2018★ 2 cited
The Utility Cost of Robust Privacy Guarantees
Hao Wang, Mario Diaz, Flavio P. Calmon +1
Consider a data publishing setting for a data set with public and private features. The objective of the publisher is to maximize the amount of information about the public feature…
cs.IT2018★ 1 cited
On the Direction of Discrimination: An Information-Theoretic Analysis of Disparate Impact in Machine Learning
Hao Wang, Berk Ustun, Flavio P. Calmon
In the context of machine learning, disparate impact refers to a form of systematic discrimination whereby the output distribution of a model depends on the value of a sensitive at…