应兰州大学数学与统计学院邀请，中国科学院数学与系统科学研究院数学科学国家重点实验室郭利苹博士将于2025年9月4日晚上举行线上学术报告。

报告题目: 隐私保护下的状态估计

时 间：9月4日（星期四）19：30-20: 30

腾讯会议ID：824-528-664

报告摘要：This report addresses the real-time state estimation problem for dynamic systems while protecting exogenous inputs against adversaries, who may be honest-but-curious third parties or external eavesdroppers. The Cramér-Rao lower bound (CRLB) is employed to constrain the mean square error (MSE) of the adversary’s estimate for the exogenous inputs above a specified threshold. By minimizing the MSE of the state estimate while ensuring a certain privacy level measured by CRLB, the problem is formulated as a constrained optimization. To solve the optimization problem, an explicit expression for CRLB is first provided. As the computational complexity of the CRLB increases with the time step, a low-complexity approach is proposed to make the complexity independent of time. Then, a relaxation approach is proposed to efficiently solve the optimization problem. Finally, a privacy-preserving state estimation algorithm with low complexity is developed, which also ensures (ϵ, δ)- differential privacy. Two illustrative examples, including a practical scenario for protecting building occupancy, demonstrate the effectiveness of the proposed algorithm.

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报告人简介

郭利苹博士，现在中国科学院数学与系统科学研究院数学科学国家重点实验室从事博士后研究工作，合作导师张纪峰研究员(国家杰青)。2023年于四川大学获得理学博士学位，博士生导师周杰教授。研究方向是随机动态系统状态估计及隐私保护。研究主题包括非线性随机动态系统滤波算法，隐私保护下的状态估计，雷达目标识别及跟踪等。主持国家级基金两项，中国科学院特别研究助理资助项目一项，参与科技部重点研发计划项目及国自然重点项目。在IEEE Transactions on Signal Processing、IEEE Transactions on Aerospace and Electronic Systems等业内顶级期刊和会议上发表7篇文章。

数学与统计学院

甘肃应用数学中心

萃英学院

2025年9月2日