Abstract: We consider a cloud-based control framework in which individual clients own their local plants that must be controlled by a public authority.

May 8, 2017 · We propose a methodology to design an optimal privacy filter that minimizes privacy loss while a given level of control performance is guaranteed.

Abstract: We consider a cloud-based control framework in which individual clients own their local plants that must be controlled by a public authority.

May 26, 2017 · Abstract—We consider a cloud-based control framework in which individual clients own their local plants that must be.

Abstract: We consider cloud-based control scenarios in which clients with local control tasks outsource their computational or physical duties to a cloud ...

In both cases, the server is able to seize the correct, or not accurate but correct, information about the user's privacy. ...

Aug 23, 2017 · We consider a cloud-based control framework in which individual clients own their local plants that must be controlled by a public authority.

This work justifies the use of Kramer's notion of causally conditioned directed information as a measure of privacy loss based on an axiomatic argument and ...

Specifically, we justify the use of Kramer's notion of causally conditioned directed information as a measure of privacy loss based on an axiomatic argument.

We consider a cloud-based control framework in which individual clients own their local plants that must be controlled by a public authority.