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Fundamental Limits of Obfuscation for Linear Gaussian Dynamical Systems:
  An Information-Theoretic Approach

Fundamental Limits of Obfuscation for Linear Gaussian Dynamical Systems: An Information-Theoretic Approach

American Control Conference (ACC), 2020
29 October 2020
Song Fang
Quanyan Zhu
ArXiv (abs)PDFHTML

Papers citing "Fundamental Limits of Obfuscation for Linear Gaussian Dynamical Systems: An Information-Theoretic Approach"

3 / 3 papers shown
Foundations of Cyber Resilience: The Confluence of Game, Control, and
  Learning Theories
Foundations of Cyber Resilience: The Confluence of Game, Control, and Learning Theories
Quanyan Zhu
AI4CE
391
7
0
01 Apr 2024
Infinite Horizon Privacy in Networked Control Systems: Utility/Privacy
  Tradeoffs and Design Tools
Infinite Horizon Privacy in Networked Control Systems: Utility/Privacy Tradeoffs and Design ToolsIEEE Conference on Decision and Control (CDC), 2023
H. Hayati
N. van de Wouw
C. Murguia
229
6
0
30 Mar 2023
Fundamental Stealthiness-Distortion Tradeoffs in Dynamical Systems under
  Injection Attacks: A Power Spectral Analysis
Fundamental Stealthiness-Distortion Tradeoffs in Dynamical Systems under Injection Attacks: A Power Spectral AnalysisEuropean Control Conference (ECC), 2020
Song Fang
Quanyan Zhu
163
2
0
03 Dec 2020
1
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