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ORCIDEhsan Hallaji
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2020 – today
- 2024
[j14]Ehsan Hallaji
, Roozbeh Razavi-Far, Mehrdad Saif:
Expanding analytical capabilities in intrusion detection through ensemble-based multi-label classification. Comput. Secur. 139: 103730 (2024)- [j13]Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif, Boyu Wang, Qiang Yang:
Decentralized Federated Learning: A Survey on Security and Privacy. IEEE Trans. Big Data 10(2): 194-213 (2024) - [c4]Mahsa Jalali, Ehsan Hallaji, Mehrdad Saif:
Bio-Inspired Intelligent Anomaly Diagnosis System for Health Monitoring in Connected Vehicles. SM 2024: 197-202 - [i4]Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif, Boyu Wang, Qiang Yang:
Decentralized Federated Learning: A Survey on Security and Privacy. CoRR abs/2401.17319 (2024) - 2023
- [j12]Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif, Enrique Herrera-Viedma:
Label noise analysis meets adversarial training: A defense against label poisoning in federated learning. Knowl. Based Syst. 266: 110384 (2023) - [j11]Ehsan Hallaji, Maryam Farajzadeh-Zanjani, Roozbeh Razavi-Far, Vasile Palade, Mehrdad Saif:
Constrained Generative Adversarial Learning for Dimensionality Reduction. IEEE Trans. Knowl. Data Eng. 35(3): 2394-2405 (2023) - [i3]Hossein Hassani, Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif:
Learning From High-Dimensional Cyber-Physical Data Streams for Diagnosing Faults in Smart Grids. CoRR abs/2303.08300 (2023) - 2022
- [j10]Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif:
DLIN: Deep Ladder Imputation Network. IEEE Trans. Cybern. 52(9): 8629-8641 (2022) - [j9]Maryam Farajzadeh-Zanjani, Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif:
Generative-Adversarial Class-Imbalance Learning for Classifying Cyber-Attacks and Faults - A Cyber-Physical Power System. IEEE Trans. Dependable Secur. Comput. 19(6): 4068-4081 (2022) - [j8]Ehsan Hallaji, Roozbeh Razavi-Far, Meng Wang, Mehrdad Saif, Bruce Fardanesh:
A Stream Learning Approach for Real-Time Identification of False Data Injection Attacks in Cyber-Physical Power Systems. IEEE Trans. Inf. Forensics Secur. 17: 3934-3945 (2022) - [i2]Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif:
Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms. CoRR abs/2207.02337 (2022) - [i1]Ehsan Hallaji, Roozbeh Razavi-Far, Meng Wang, Mehrdad Saif, Bruce Fardanesh:
A Stream Learning Approach for Real-Time Identification of False Data Injection Attacks in Cyber-Physical Power Systems. CoRR abs/2210.06729 (2022) - 2021
- [j7]Ehsan Hallaji, Roozbeh Razavi-Far, Vasile Palade, Mehrdad Saif:
Adversarial Learning on Incomplete and Imbalanced Medical Data for Robust Survival Prediction of Liver Transplant Patients. IEEE Access 9: 73641-73650 (2021) - [j6]Hossein Hassani, Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif:
Unsupervised concrete feature selection based on mutual information for diagnosing faults and cyber-attacks in power systems. Eng. Appl. Artif. Intell. 100: 104150 (2021) - [j5]Maryam Farajzadeh-Zanjani, Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif:
Generative adversarial dimensionality reduction for diagnosing faults and attacks in cyber-physical systems. Neurocomputing 440: 101-110 (2021) - [j4]Maryam Farajzadeh-Zanjani, Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif, Masood Parvania:
Adversarial Semi-Supervised Learning for Diagnosing Faults and Attacks in Power Grids. IEEE Trans. Smart Grid 12(4): 3468-3478 (2021) - [c3]Roozbeh Razavi-Far, Ehsan Hallaji, Maryam Farajzadeh-Zanjani, Ranim Aljoudi, Mehrdad Saif:
A Critical Study on the Impact of Missing Data Imputation for Classifying Intrusions in Cyber-Physical Water Systems. IECON 2021: 1-6 - 2020
- [c2]Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif:
Detection of Malicious SCADA Communications via Multi-Subspace Feature Selection. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j3]Roozbeh Razavi-Far, Ehsan Hallaji, Mehrdad Saif, Gregory Ditzler:
A Novelty Detector and Extreme Verification Latency Model for Nonstationary Environments. IEEE Trans. Ind. Electron. 66(1): 561-570 (2019) - [j2]Roozbeh Razavi-Far, Ehsan Hallaji, Maryam Farajzadeh-Zanjani, Mehrdad Saif, Shahin Hedayati Kia, Humberto Henao, Gérard-André Capolino:
Information Fusion and Semi-Supervised Deep Learning Scheme for Diagnosing Gear Faults in Induction Machine Systems. IEEE Trans. Ind. Electron. 66(8): 6331-6342 (2019) - [j1]Roozbeh Razavi-Far, Ehsan Hallaji, Maryam Farajzadeh-Zanjani, Mehrdad Saif:
A Semi-Supervised Diagnostic Framework Based on the Surface Estimation of Faulty Distributions. IEEE Trans. Ind. Informatics 15(3): 1277-1286 (2019) - 2017
- [c1]Roozbeh Razavi-Far, Ehsan Hallaji, Mehrdad Saif, Luis Rueda:
A Hybrid Scheme for Fault Diagnosis with Partially Labeled Sets of Observations. ICMLA 2017: 61-67
Coauthor Index
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