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A Cgan-Based Adversarial Attack Method for Data-Driven State Estimation

https://doi.org/10.2139/ssrn.4896159
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Research on defense strategies for power system frequency stability under false data injection attacks
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Power system state estimation using a robust crow search algorithm based on PMUs with limited number of channels
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A GAN-based Adversarial Attack Method for Data-driven State Estimation
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Cyber Attacks on Smart Energy Grids Using Generative Adverserial Networks
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Generation of False Data Injection Attacks using Conditional Generative Adversarial Networks
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Power System Tracking State Estimator for Smart Grid Under Unreliable PMU Data Communication Network
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Towards Evaluating the Robustness of Neural Networks
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Q-Learning-Based Vulnerability Analysis of Smart Grid Against Sequential Topology Attacks
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Data Poisoning Attacks and Defenses in Dynamic Crowdsourcing With Online Data Quality Learning
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Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
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Dynamic State Estimation With Model Uncertainties Using $H_\infty$ Extended Kalman Filter
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Integrating Model-Driven and Data-Driven Methods for Power System Frequency Stability Assessment and Control
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A Fully Data-Driven Method Based on Generative Adversarial Networks for Power System Dynamic Security Assessment With Missing Data
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A High Temporal-Spatial Resolution Power System State Estimation Method for Online DSA
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Robust Particle Filter Design With an Application to Power System State Estimation
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Classification and Detection of PMU Data Manipulation Attacks Using Transmission Line Parameters
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Robust and Scalable Power System State Estimation via Composite Optimization
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Cyber Physical Security Analytics for Transactive Energy Systems
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Attack Power System State Estimation by Implicitly Learning the Underlying Models
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Localization of Dummy Data Injection Attacks in Power Systems Considering Incomplete Topological Information: A Spatio-Temporal Graph Wavelet Convolutional Neural Network Approach
inferredcites →https://doi.org/10.23919/ccc50068.2020.9189440openalex-snapshot
False Data Injection Attacks against State Estimation in AC-DC Hybrid Power System
inferredcites →https://doi.org/10.35833/mpce.2020.000362openalex-snapshot
Neural-network-based Power System State Estimation with Extended Observability
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Data-driven Missing Data Imputation for Wind Farms Using Context Encoder
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A Review on Cybersecurity Analysis, Attack Detection, and Attack Defense Methods in Cyber-physical Power Systems
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.