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Differential privacy in control and network systems
2016 IEEE 55th Conference on Decision and Control (CDC)
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 enforcingdoi:10.1109/cdc.2016.7798915 dblp:conf/cdc/CortesDHNMP16 fatcat:ahcmnwkzjrb4nbt7uditlsxsb4