Finite Horizon Privacy of Stochastic Dynamical Systems: A Synthesis Framework for Gaussian Mechanisms. - Haleh Hayati; Carlos Murguia; Nathan van de Wouw (CDC, 2021)

Finite Horizon Privacy of Stochastic Dynamical Systems: A Synthesis Framework for Dependent Gaussian Mechanisms. - Haleh Hayati; Carlos Murguia; Nathan van de Wouw (CoRR, 2021)

Privacy-Preserving Federated Learning via System Immersion and Random Matrix Encryption. - Haleh Hayati; Carlos Murguia; Nathan van de Wouw (CDC, 2022)

Gaussian Mechanisms Against Statistical Inference: Synthesis Tools. - Haleh Hayati; Carlos Murguia; Nathan van de Wouw (ECC, 2022)

Immersion and Invariance-based Coding for Privacy in Remote Anomaly Detection. - Haleh Hayati; Nathan van de Wouw; Carlos Murguia (CoRR, 2022)

Infinite Horizon Privacy in Networked Control Systems: Utility/Privacy Tradeoffs and Design Tools. - Haleh Hayati; Nathan van de Wouw; Carlos Murguia (CDC, 2023)

Privacy in Cloud Computing through Immersion-based Coding. - Haleh Hayati; Nathan van de Wouw; Carlos Murguia (CoRR, 2024)

Immersion and Invariance-based Coding for Privacy-Preserving Federated Learning. - Haleh Hayati; Carlos Murguia; Nathan van de Wouw (CoRR, 2024)

Privacy-preserving anomaly detection in stochastic dynamical systems: Synthesis of optimal Gaussian mechanisms. - Haleh Hayati; Carlos Murguia; Nathan van de Wouw (Eur. J. Control, 2025)