Privacy-Preserving Control and Decision-Making

Abstract: With the advancement of technologies such as artificial intelligence and the Internet of Things, the need for data privacy protection is widespread in control and decision-making processes across both national defense and civilian domains, including weapon guidance, attack-defense games, intelligent transportation, and brain-computer interfaces. Information leakage and theft within control systems often lead to severe consequences, even affecting national security. This report focuses on control and decision-making under privacy protection. It introduces data privacy protection and privacy-preserving methods, as well as preliminary research progress by our team in dynamic asymptotic stabilization based on homomorphic encryption and distributed decision-making based on differential privacy.

Ma Qian is a Zijin Distinguished Professor and doctoral supervisor at Nanjing University of Science and Technology. She received her Ph.D. degree in Control Science and Engineering from Nanjing University of Science and Technology in 2013. She has been selected as a Young Scholar and Distinguished Professor under the Chang Jiang Scholar Program of the Ministry of Education. She has led key projects of the National Natural Science Foundation of China and the Jiangsu Provincial Outstanding Youth Fund. Her research focuses on control and decision-making in autonomous unmanned systems, as well as privacy protection and data security. She has received the Second Prize of the National Natural Science Award, the First Prize of the Natural Science Award from the Ministry of Education, the First Prize of the Jiangsu Provincial Natural Science Award, the First Prize of the Natural Science Award from the Chinese Association of Automation, and the Young Scientist Award from the Chinese Association of Automation.