Compressive privacy for a linear dynamical system

• Main Authors: Song, Yang, Wang, Chong Xiao, Tay, Wee Peng
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Electrical and electronic engineering; Inference Privacy; Compressive Privacy
• Online Access: https://hdl.handle.net/10356/154435
• Institution: Nanyang Technological University

We consider a linear dynamical system in which the state vector consists of both public and private states. One or more sensors make measurements of the state vector and sends information to a fusion center, which performs the final state estimation. To achieve an optimal tradeoff between the utilit...