TY - GEN
T1 - Differential privacy in control and network systems
AU - Cortes, Jorge
AU - Dullerud, Geir E.
AU - Han, Shuo
AU - Ny, Jerome Le
AU - Mitra, Sayan
AU - Pappas, George J.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/27
Y1 - 2016/12/27
N2 - As intelligent automation and large-scale distributed monitoring and control systems become more widespread, concerns are growing about the way these systems collect and make use of privacy-sensitive data obtained from individuals. This tutorial paper gives a systems and control perspective on the topic of privacy preserving data analysis, with a particular emphasis on the processing of dynamic data as well as data exchanged in networks. Specifically, we consider mechanisms enforcing differential privacy, a state-of-the-art definition of privacy initially introduced to analyze large, static datasets, and whose guarantees hold against adversaries with arbitrary side information. We discuss in particular how to perform tasks such as signal estimation, consensus and distributed optimization between multiple agents under differential privacy constraints.
AB - As intelligent automation and large-scale distributed monitoring and control systems become more widespread, concerns are growing about the way these systems collect and make use of privacy-sensitive data obtained from individuals. This tutorial paper gives a systems and control perspective on the topic of privacy preserving data analysis, with a particular emphasis on the processing of dynamic data as well as data exchanged in networks. Specifically, we consider mechanisms enforcing differential privacy, a state-of-the-art definition of privacy initially introduced to analyze large, static datasets, and whose guarantees hold against adversaries with arbitrary side information. We discuss in particular how to perform tasks such as signal estimation, consensus and distributed optimization between multiple agents under differential privacy constraints.
UR - http://www.scopus.com/inward/record.url?scp=85010782661&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85010782661&partnerID=8YFLogxK
U2 - 10.1109/CDC.2016.7798915
DO - 10.1109/CDC.2016.7798915
M3 - Conference contribution
AN - SCOPUS:85010782661
T3 - 2016 IEEE 55th Conference on Decision and Control, CDC 2016
SP - 4252
EP - 4272
BT - 2016 IEEE 55th Conference on Decision and Control, CDC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 55th IEEE Conference on Decision and Control, CDC 2016
Y2 - 12 December 2016 through 14 December 2016
ER -