Ehsan Hallaji

Orcid: 0000-0002-9956-4003

According to our database1, Ehsan Hallaji authored at least 18 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Online presence:

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Bibliography

2024
Decentralized Federated Learning: A Survey on Security and Privacy.
IEEE Trans. Big Data, April, 2024

2023
Label noise analysis meets adversarial training: A defense against label poisoning in federated learning.
Knowl. Based Syst., April, 2023

Constrained Generative Adversarial Learning for Dimensionality Reduction.
IEEE Trans. Knowl. Data Eng., March, 2023

Learning From High-Dimensional Cyber-Physical Data Streams for Diagnosing Faults in Smart Grids.
CoRR, 2023

2022
A Stream Learning Approach for Real-Time Identification of False Data Injection Attacks in Cyber-Physical Power Systems.
IEEE Trans. Inf. Forensics Secur., 2022

Generative-Adversarial Class-Imbalance Learning for Classifying Cyber-Attacks and Faults - A Cyber-Physical Power System.
IEEE Trans. Dependable Secur. Comput., 2022

DLIN: Deep Ladder Imputation Network.
IEEE Trans. Cybern., 2022

Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms.
CoRR, 2022

2021
Adversarial Semi-Supervised Learning for Diagnosing Faults and Attacks in Power Grids.
IEEE Trans. Smart Grid, 2021

Generative adversarial dimensionality reduction for diagnosing faults and attacks in cyber-physical systems.
Neurocomputing, 2021

Unsupervised concrete feature selection based on mutual information for diagnosing faults and cyber-attacks in power systems.
Eng. Appl. Artif. Intell., 2021

Adversarial Learning on Incomplete and Imbalanced Medical Data for Robust Survival Prediction of Liver Transplant Patients.
IEEE Access, 2021

A Critical Study on the Impact of Missing Data Imputation for Classifying Intrusions in Cyber-Physical Water Systems.
Proceedings of the IECON 2021, 2021

2020
Detection of Malicious SCADA Communications via Multi-Subspace Feature Selection.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
A Semi-Supervised Diagnostic Framework Based on the Surface Estimation of Faulty Distributions.
IEEE Trans. Ind. Informatics, 2019

A Novelty Detector and Extreme Verification Latency Model for Nonstationary Environments.
IEEE Trans. Ind. Electron., 2019

Information Fusion and Semi-Supervised Deep Learning Scheme for Diagnosing Gear Faults in Induction Machine Systems.
IEEE Trans. Ind. Electron., 2019

2017
A Hybrid Scheme for Fault Diagnosis with Partially Labeled Sets of Observations.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017


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