A Hybrid Scheme for Fault Diagnosis with Partially Labeled Sets of Observations. - Roozbeh Razavi-Far; Ehsan Hallaji; Mehrdad Saif; Luis Rueda 001 (ICMLA, 2017)

Information Fusion and Semi-Supervised Deep Learning Scheme for Diagnosing Gear Faults in Induction Machine Systems. - Roozbeh Razavi-Far; Ehsan Hallaji; Maryam Farajzadeh-Zanjani; Mehrdad Saif; Shahin Hedayati Kia; Humberto Henao; Gérard-André Capolino (IEEE Trans. Ind. Electron., 2019)

A Novelty Detector and Extreme Verification Latency Model for Nonstationary Environments. - Roozbeh Razavi-Far; Ehsan Hallaji; Mehrdad Saif; Gregory Ditzler (IEEE Trans. Ind. Electron., 2019)

A Semi-Supervised Diagnostic Framework Based on the Surface Estimation of Faulty Distributions. - Roozbeh Razavi-Far; Ehsan Hallaji; Maryam Farajzadeh-Zanjani; Mehrdad Saif (IEEE Trans. Ind. Informatics, 2019)

Detection of Malicious SCADA Communications via Multi-Subspace Feature Selection. - Ehsan Hallaji; Roozbeh Razavi-Far; Mehrdad Saif (IJCNN, 2020)

A Critical Study on the Impact of Missing Data Imputation for Classifying Intrusions in Cyber-Physical Water Systems. - Roozbeh Razavi-Far; Ehsan Hallaji; Maryam Farajzadeh-Zanjani; Ranim Aljoudi; Mehrdad Saif (IECON, 2021)

Adversarial Learning on Incomplete and Imbalanced Medical Data for Robust Survival Prediction of Liver Transplant Patients. - Ehsan Hallaji; Roozbeh Razavi-Far; Vasile Palade; Mehrdad Saif (IEEE Access, 2021)

Unsupervised concrete feature selection based on mutual information for diagnosing faults and cyber-attacks in power systems. - Hossein Hassani 003; Ehsan Hallaji; Roozbeh Razavi-Far; Mehrdad Saif (Eng. Appl. Artif. Intell., 2021)

Generative adversarial dimensionality reduction for diagnosing faults and attacks in cyber-physical systems. - Maryam Farajzadeh-Zanjani; Ehsan Hallaji; Roozbeh Razavi-Far; Mehrdad Saif (Neurocomputing, 2021)

Adversarial Semi-Supervised Learning for Diagnosing Faults and Attacks in Power Grids. - Maryam Farajzadeh-Zanjani; Ehsan Hallaji; Roozbeh Razavi-Far; Mehrdad Saif; Masood Parvania (IEEE Trans. Smart Grid, 2021)

Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms. - Ehsan Hallaji; Roozbeh Razavi-Far; Mehrdad Saif (CoRR, 2022)

DLIN: Deep Ladder Imputation Network. - Ehsan Hallaji; Roozbeh Razavi-Far; Mehrdad Saif (IEEE Trans. Cybern., 2022)

Generative-Adversarial Class-Imbalance Learning for Classifying Cyber-Attacks and Faults - A Cyber-Physical Power System. - Maryam Farajzadeh-Zanjani; Ehsan Hallaji; Roozbeh Razavi-Far; Mehrdad Saif (IEEE Trans. Dependable Secur. Comput., 2022)

A Stream Learning Approach for Real-Time Identification of False Data Injection Attacks in Cyber-Physical Power Systems. - Ehsan Hallaji; Roozbeh Razavi-Far; Meng Wang 003; Mehrdad Saif; Bruce Fardanesh (IEEE Trans. Inf. Forensics Secur., 2022)

Learning From High-Dimensional Cyber-Physical Data Streams for Diagnosing Faults in Smart Grids. - Hossein Hassani 003; Ehsan Hallaji; Roozbeh Razavi-Far; Mehrdad Saif (CoRR, 2023)

Constrained Generative Adversarial Learning for Dimensionality Reduction. - Ehsan Hallaji; Maryam Farajzadeh-Zanjani; Roozbeh Razavi-Far; Vasile Palade; Mehrdad Saif (IEEE Trans. Knowl. Data Eng., 2023)

Label noise analysis meets adversarial training: A defense against label poisoning in federated learning. - Ehsan Hallaji; Roozbeh Razavi-Far; Mehrdad Saif; Enrique Herrera-Viedma (Knowl. Based Syst., 2023)

Bio-Inspired Intelligent Anomaly Diagnosis System for Health Monitoring in Connected Vehicles. - Mahsa Jalali; Ehsan Hallaji; Mehrdad Saif (SM, 2024)

Expanding analytical capabilities in intrusion detection through ensemble-based multi-label classification. - Ehsan Hallaji; Roozbeh Razavi-Far; Mehrdad Saif (Comput. Secur., 2024)

Decentralized Federated Learning: A Survey on Security and Privacy. - Ehsan Hallaji; Roozbeh Razavi-Far; Mehrdad Saif; Boyu Wang 004; Qiang Yang (IEEE Trans. Big Data, 2024)

IEEE 118-Bus Cyber-Physical Power System Data Streams. - Hossein Hassani 003; Ehsan Hallaji; Roozbeh Razavi-Far; Mehrdad Saif (IEEE DataPort, 2024)

Enhancing Cyberspace Security with Phishing Detection and Defense Using Machine Learning Models. - MD Nazmul Haque Siam; Ehsan Hallaji; Roozbeh Razavi-Far (ISDFS, 2025)

Federated continual learning: Concepts, challenges, and solutions. - Parisa Hamedi; Roozbeh Razavi-Far; Ehsan Hallaji (Neurocomputing, 2025)

A Study on the Importance of Features in Detecting Advanced Persistent Threats Using Machine Learning. - Ehsan Hallaji; Roozbeh Razavi-Far; Mehrdad Saif (CoRR, 2025)

FedNIA: Noise-Induced Activation Analysis for Mitigating Data Poisoning in FL. - Ehsan Hallaji; Roozbeh Razavi-Far; Mehrdad Saif (CoRR, 2025)

TrustChain: A Blockchain Framework for Auditing and Verifying Aggregators in Decentralized Federated Learning. - Ehsan Hallaji; Roozbeh Razavi-Far; Mehrdad Saif (CoRR, 2025)

Learning from high-dimensional cyber-physical data streams: a case of large-scale smart grid. - Hossein Hassani 003; Ehsan Hallaji; Roozbeh Razavi-Far; Mehrdad Saif (Int. J. Mach. Learn. Cybern., 2025)

A Study on Semi-Supervised Detection of DDoS Attacks under Class Imbalance. - Ehsan Hallaji; Vaishnavi Shanmugam; Roozbeh Razavi-Far; Mehrdad Saif (CoRR, 2025)