3 papers
cs.CR2020
Data-driven Regularized Inference Privacy
Chong Xiao Wang, Wee Peng Tay
Data is used widely by service providers as input to inference systems to perform decision making for authorized tasks. The raw data however allows a service provider to infer othe…
eess.SY2020
Arbitrarily Strong Utility-Privacy Tradeoff in Multi-Agent Systems
Chong Xiao Wang, Yang Song, Wee Peng Tay
Each agent in a network makes a local observation that is linearly related to a set of public and private parameters. The agents send their observations to a fusion center to allow…
cs.IT2018
Compressive Privacy for a Linear Dynamical System
Yang Song, Chong Xiao Wang, Wee Peng Tay
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 info…