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20172026
most citedPrivacy-Preserving Anomaly Detection in Stochastic Dynamical Systems: Synthesis of Optimal Gaussian Mechanisms

2 citations · 8 across the 24 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

eess.SY2021

Enforcing Safety under Actuator Attacks through Input Filtering

Cédric Escudero, Carlos Murguia, Paolo Massioni +1

Actuator injection attacks pose real threats to all industrial plants controlled through communication networks. In this manuscript, we study the possibility of constraining the co…

eess.SY2021

Gaussian Mechanisms Against Statistical Inference: Synthesis Tools

Haleh Hayati, Carlos Murguia, Nathan van de Wouw

In this manuscript, we provide a set of tools (in terms of semidefinite programs) to synthesize Gaussian mechanisms to maximize privacy of databases. Information about the database…

eess.SY2021★ 2 cited

Risk Assessment for Connected Vehicles under Stealthy Attacks on Vehicle-to-Vehicle Networks

Tianci Yang, Carlos Murguia, Chen Lv

Cooperative Adaptive Cruise Control (CACC) is an autonomous vehicle-following technology that allows groups of vehicles on the highway to form in tightly-coupled platoons. This is…

cs.CR2021★ 1 cited

Finite Horizon Privacy of Stochastic Dynamical Systems: A Synthesis Framework for Dependent Gaussian Mechanisms

Haleh Hayati, Carlos Murguia, Nathan van de Wouw

We address the problem of synthesizing distorting mechanisms that maximize privacy of stochastic dynamical systems. Information about the system state is obtained through sensor me…

eess.SY2021

A Robust CACC Scheme Against Cyberattacks Via Multiple Vehicle-to-Vehicle Networks

Tianci Yang, Carlos Murguia, Dragan Nešić +1

Cooperative Adaptive Cruise Control (CACC) is a vehicular technology that allows groups of vehicles on the highway to form in closely-coupled automated platoons to increase highway…

eess.SY2021★ 1 cited

On Joint Reconstruction of State and Input-Output Injection Attacks for Nonlinear Systems

Tianci Yang, Carlos Murguia, Chen Lv +2

We address the problem of robust state reconstruction for discrete-time nonlinear systems when the actuators and sensors are injected with (potentially unbounded) attack signals. E…