3 papers
eess.SY2026
Differentially Private Obfuscation of Power Grid Dynamics
Shengyang Wu, Vladimir Dvorkin
Dynamic models of power systems are critical for analyzing grid response to disturbances and blackouts, but the release of real-world dynamic models is hindered by privacy and cybe…
eess.SY2025
Synthesizing Grid Data with Cyber Resilience and Privacy Guarantees
Shengyang Wu, Vladimir Dvorkin
Differential privacy (DP) provides a principled approach to synthesizing data (e.g., loads) from real-world power systems while limiting the exposure of sensitive information. Howe…
cs.CR2023
Extracting Physical Causality from Measurements to Detect and Localize False Data Injection Attacks
Shengyang Wu, Jingyu Wang, Dongyuan Shi
False Data Injection Attack (FDIA) has become a growing concern in modern cyber-physical power systems. Most existing FDIA detection techniques project the raw measurement data int…