PhD student in the Electrical and Computer Engineering Department, Iowa State University.
We address the problem of modifying a dataset so as to minimize mutual information about sensitive attributes in the released version, while maintaining a specified level of utility. This can be formulated as an optimization problem over distributions, and we attempt to solve it in a data-driven manner using adversarially …
This will be a two-part talk. In the first part, I will describe a method to sanitize datasets from containing information about sensitive attributes. This method uses adversarial networks to approximate a privacy-utility optimization problem. In the second part, I will describe a new objective in multi-armed stochastic bandits, that …