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20242026
most citedDesign of Stochastic Quantizers for Privacy Preservation

5 citations · 6 across the 6 of their papers we have counts for

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5 papers · 1 filter

eess.SY2025

A Randomized Scheduling Framework for Privacy-Preserving Multi-robot Rendezvous given Prior Information

Le Liu, Yu Kawano, Ming Cao

Privacy has become a critical concern in modern multi-robot systems, driven by both ethical considerations and operational constraints. As a result, growing attention has been dire…

eess.SY2025

Privacy protection under the exposure of systems' prior information

Le Liu, Yu Kawano, Ming Cao

For systems whose states implicate sensitive information, their privacy is of great concern. While notions like differential privacy have been successfully introduced to dynamical…

eess.SY2025

Initial State Privacy of Nonlinear Systems on Riemannian Manifolds

Le Liu, Yu Kawano, Antai Xie +1

In this paper, we investigate initial state privacy protection for discrete-time nonlinear closed systems. By capturing Riemannian geometric structures inherent in such privacy cha…

math.OC2025★ 1 cited

Distributionally Robust Model Order Reduction for Linear Systems

Le Liu, Yu Kawano, Yangming Dou +1

In this paper, we investigate distributionally robust model order reduction for linear, discrete-time, time-invariant systems. The external input is assumed to follow an uncertain…

eess.SY2025

Privacy Preservation for Statistical Input in Dynamical Systems

Le Liu, Yu Kawano, Ming Cao

This paper addresses the challenge of privacy preservation for statistical inputs in dynamical systems. Motivated by an autonomous building application, we formulate a privacy pres…