Model-based fault detection and isolation of a steam generator using neuro-fuzzy networks. - Roozbeh Razavi-Far; Hadi Davilu; Vasile Palade; Caro Lucas (Neurocomputing, 2009)

Classifier-ensemble incremental-learning procedure for nuclear transient identification at different operational conditions. - Piero Baraldi; Roozbeh Razavi-Far; Enrico Zio (Reliab. Eng. Syst. Saf., 2011)

Plant-wide performance optimisation - The refrigeration system case. - Torben Green; Roozbeh Razavi-Far; Roozbeh Izadi-Zamanabadi; Henrik Niemann (CCA, 2012)

Optimal detection of new classes of faults by an Invasive Weed Optimization method. - Roozbeh Razavi-Far; Vasile Palade; Enrico Zio (IJCNN, 2014)

Efficient residuals pre-processing for diagnosing multi-class faults in a doubly fed induction generator, under missing data scenarios. - Roozbeh Razavi-Far; Enrico Zio; Vasile Palade (Expert Syst. Appl., 2014)

Diagnosis of Bearing Defects in Induction Motors by Fuzzy-Neighborhood Density-Based Clustering. - Maryam Farajzadeh-Zanjani; Roozbeh Razavi-Far; Mehrdad Saif; Jafar Zarei; Vasile Palade (ICMLA, 2015)

Multiple Imputation of Missing Residuals for Fault Classification: A Wind Turbine Application. - Eman M. Nejad; Roozbeh Razavi-Far; Q. M. Jonathan Wu; Mehrdad Saif (ICMLA, 2015)

Imputation of Missing Data for Diagnosing Sensor Faults in a Wind Turbine. - Roozbeh Razavi-Far; Mehrdad Saif (SMC, 2015)

Invasive weed classification. - Roozbeh Razavi-Far; Vasile Palade; Enrico Zio (Neural Comput. Appl., 2015)

A supervised cooperative clustering scheme for diagnosing process faults in an industrial plant. - Mohammad Anvaripour; Sima Soltanpour; Roozbeh Razavi-Far; Mehrdad Saif; Q. M. Jonathan Wu (CEC, 2016)

Imputation of missing data using fuzzy neighborhood density-based clustering. - Roozbeh Razavi-Far; Mehrdad Saif (FUZZ-IEEE, 2016)

Data-driven prognostic techniques for estimation of the remaining useful life of lithium-ion batteries. - Roozbeh Razavi-Far; Maryam Farajzadeh-Zanjani; Shiladitya Chakrabarti; Mehrdad Saif (ICPHM, 2016)

Efficient feature extraction of vibration signals for diagnosing bearing defects in induction motors. - Maryam Farajzadeh-Zanjani; Roozbeh Razavi-Far; Mehrdad Saif; Luis Rueda 001 (IJCNN, 2016)

Multi-step-ahead prediction techniques for Lithium-ion batteries condition prognosis. - Roozbeh Razavi-Far; Shiladitya Chakrabarti; Mehrdad Saif (SMC, 2016)

Efficient sampling techniques for ensemble learning and diagnosing bearing defects under class imbalanced condition. - Maryam Farajzadeh-Zanjani; Roozbeh Razavi-Far; Mehrdad Saif (SSCI, 2016)

Ensemble of extreme learning machines for diagnosing bearing defects in non-stationary environments under class imbalance condition. - Roozbeh Razavi-Far; Mehrdad Saif (SSCI, 2016)

Multi-class heteroscedastic linear dimensionality reduction scheme for diagnosing process faults. - Shiladitya Chakrabarti; Roozbeh Razavi-Far; Mehrdad Saif; Luis Rueda 001 (CCECE, 2017)

Multi-step parallel-strategy for estimating the remaining useful life of batteries. - Roozbeh Razavi-Far; Shiladitya Chakrabarti; Mehrdad Saif (CCECE, 2017)

One-class classifiers for detecting faults in induction motors. - Roozbeh Razavi-Far; Maryam Farajzadeh-Zanjani; Shokoofeh Zare; Mehrdad Saif; Jafar Zarei (CCECE, 2017)

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

Broken rotor bars detection in induction motors using Cubature Kalman Filter. - Elham Kowsari; Jafar Zarei; Roozbeh Razavi-Far; Mehrdad Saif (IECON, 2017)

Fractional order unknown input filter design for fault detection of discrete linear systems. - Jafar Zarei; Mahmood Tabatabaei; Roozbeh Razavi-Far; Mehrdad Saif (IECON, 2017)

Adaptive incremental ensemble of extreme learning machines for fault diagnosis in induction motors. - Roozbeh Razavi-Far; Mehrdad Saif; Vasile Palade; Enrico Zio (IJCNN, 2017)

Robust fault-tolerant control of uncertain networked control systems subject to random delays and data packet dropouts. - Mohsen Bahreini; Jafar Zarei; Roozbeh Razavi-Far; Mehrdad Saif (SMC, 2017)

Dimensionality reduction-based diagnosis of bearing defects in induction motors. - Maryam Farajzadeh-Zanjani; Roozbeh Razavi-Far; Mehrdad Saif (SMC, 2017)

zSlices-Based General Type-2 Fuzzy Fusion of Support Vector Machines With Application to Bearing Fault Detection. - Hossein Hassani 003; Jafar Zarei; Mohammad Mehdi Arefi; Roozbeh Razavi-Far (IEEE Trans. Ind. Electron., 2017)

An Integrated Class-Imbalanced Learning Scheme for Diagnosing Bearing Defects in Induction Motors. - Roozbeh Razavi-Far; Maryam Farajzadeh-Zanjani; Mehrdad Saif (IEEE Trans. Ind. Informatics, 2017)

Ensemble of One-Class Classifiers for Detecting Faults in Induction Motors. - Shokoofeh Zare; Roozbeh Razavi-Far; Mehrdad Saif; Jafar Zarei (CCECE, 2018)

A Critical Study on the Importance of Feature Extraction and Selection for Diagnosing Bearing Defects. - Maryam Farajzadeh-Zanjani; Roozbeh Razavi-Far; Mehrdad Saif (MWSCAS, 2018)

Torsional Vibration Identification Using Electrical Signatures Analysis in Induction Machine-Based Systems. - Shahin Hedayati Kia; Roozbeh Razavi-Far; Mehrdad Saif (MWSCAS, 2018)

State Estimation and Fault Detection of Fractional Order Nonlinear Systems. - Mahmood Tabatabaei; Jafar Zarei; Roozbeh Razavi-Far; Mehrdad Saif (MWSCAS, 2018)

Extreme Learning Machine Based Prognostics of Battery Life. - Roozbeh Razavi-Far; Shiladitya Chakrabarti; Mehrdad Saif; Enrico Zio; Vasile Palade (Int. J. Artif. Intell. Tools, 2018)

Design of a Cost-Effective Deep Convolutional Neural Network-Based Scheme for Diagnosing Faults in Smart Grids. - Hossein Hassani 003; Maryam Farajzadeh-Zanjani; Roozbeh Razavi-Far; Mehrdad Saif; Vasile Palade (ICMLA, 2019)

Locating Faults in Smart Grids Using Neuro-Fuzzy Networks. - Hossein Hassani 003; Roozbeh Razavi-Far; Mehrdad Saif (SMC, 2019)

Robust Fault Detection Filter Design for Nonlinear Networked Control Systems with Time-Varying Delays and Packet Dropout. - Hossein Kargar; Jafar Zarei; Roozbeh Razavi-Far (Circuits Syst. Signal Process., 2019)

An integrated imputation-prediction scheme for prognostics of battery data with missing observations. - Roozbeh Razavi-Far; Shiladitya Chakrabarti; Mehrdad Saif; Enrico Zio (Expert Syst. Appl., 2019)

Robust Interval Type-2 Fuzzy Observer for Fault Detection of Networked Control Systems Subject to Immeasurable Premise Variables. - Hossein Hassani 003; Jafar Zarei; Roozbeh Razavi-Far; Mehrdad Saif (IEEE Syst. J., 2019)

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)

Robust finite-time stochastic stabilization and fault-tolerant control for uncertain networked control systems considering random delays and probabilistic actuator faults. - Mohsen Bahreini; Jafar Zarei; Roozbeh Razavi-Far; Mehrdad Saif (Trans. Inst. Meas. Control, 2019)

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

A Comparative Assessment of Dimensionality Reduction Techniques for Diagnosing Faults in Smart Grids. - Hossein Hassani 003; Roozbeh Razavi-Far; Mehrdad Saif (SMC, 2020)

Unknown Input Observers Design For Real-Time Mitigation of the False Data Injection Attacks. - Hossein Hassani 003; Roozbeh Razavi-Far; Mehrdad Saif; Jafar Zarei (SMC, 2020)

Cooperative Clustering Missing Data Imputation. - Daoming Wan; Roozbeh Razavi-Far; Mehrdad Saif (SMC, 2020)

Robust Terminal Sliding Mode Observer-Based Sensor Fault Estimation for Uncertain Nonlinear Systems. - Mohammad-Reza Askari; Jafar Zarei; Roozbeh Razavi-Far; Mehrdad Saif (SysCon, 2020)

Adaptive Sliding Mode Fuzzy PID Control: Supervisory Control Systems. - Mobin Saeedi; Jafar Zarei; Roozbeh Razavi-Far; Mehrdad Saif (SysCon, 2020)

Secure Communication Based on Fractional Chaotic System by a Novel Robust Filter Algorithm. - Mahmood Tabatabaei; Jafar Zarei; Roozbeh Razavi-Far; Mehrdad Saif (SysCon, 2020)

A neuro-wavelet based approach for diagnosing bearing defects. - Niloofar Gharesi; Mohammad Mehdi Arefi; Roozbeh Razavi-Far; Jafar Zarei; Shen Yin (Adv. Eng. Informatics, 2020)

A dual approach for positive T-S fuzzy controller design and its application to cancer treatment under immunotherapy and chemotherapy. - Elham Ahmadi; Jafar Zarei; Roozbeh Razavi-Far; Mehrdad Saif (Biomed. Signal Process. Control., 2020)

Similarity-learning information-fusion schemes for missing data imputation. - Roozbeh Razavi-Far; Boyuan Cheng; Mehrdad Saif; Majid Ahmadi (Knowl. Based Syst., 2020)

Fault Location in Smart Grids Through Multicriteria Analysis of Group Decision Support Systems. - Hossein Hassani 003; Roozbeh Razavi-Far; Mehrdad Saif (IEEE Trans. Ind. Informatics, 2020)

Correlation Clustering Imputation for Diagnosing Attacks and Faults With Missing Power Grid Data. - Roozbeh Razavi-Far; Maryam Farajzadeh-Zanjani; Mehrdad Saif; Shiladitya Chakrabarti (IEEE Trans. Smart Grid, 2020)

Consensus and Reputation-Based Resilient Control of Networked Microgrids. - Mohammadreza Hallajiyan; Hossein Hassani 003; Roozbeh Razavi-Far; Mehrdad Saif (ICPS, 2021)

Dynamic Group Decision Support Models for Locating Faults in Power Systems. - Hossein Hassani 003; Roozbeh Razavi-Far; Mehrdad Saif (ICPS, 2021)

Rapid Stabilization of DC Microgrids with CPLs: Nonlinear Model Predictive Control. - Elham Kowsari; Jafar Zarei; Roozbeh Razavi-Far; Mehrdad Saif (IECON, 2021)

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)

Robust Fault-Tolerant Control Design for Fuzzy Networked Control Systems with Data Drift and Sensor Failure. - Jafar Zarei; Hossein Kargar; Roozbeh Razavi-Far; 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)

Multi-objective NSBGA-II control of HIV therapy with monthly output measurement. - Arezoo Vafamand; Navid Vafamand; Jafar Zarei; Roozbeh Razavi-Far; Mehrdad Saif (Biomed. Signal Process. Control., 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)

COLI: Collaborative clustering missing data imputation. - Daoming Wan; Roozbeh Razavi-Far; Mehrdad Saif; Niloofar Mozafari (Pattern Recognit. Lett., 2021)

Generative Adversarial Network-Based Scheme for Diagnosing Faults in Cyber-Physical Power Systems. - Hossein Hassani 003; Roozbeh Razavi-Far; Mehrdad Saif; Vasile Palade (Sensors, 2021)

Regression Models With Graph-Regularization Learning Algorithms for Accurate Fault Location in Smart Grids. - Hossein Hassani 003; Roozbeh Razavi-Far; Mehrdad Saif; Gérard-André Capolino (IEEE Syst. J., 2021)

Improved Distributed Prescribed Finite-Time Secondary Control of Inverter-Based Microgrids: Design and Real-Time Implementation. - Neda Sarrafan; Mohammad-Amin Rostami; Jafar Zarei; Roozbeh Razavi-Far; Mehrdad Saif; Tomislav Dragicevic (IEEE Trans. Ind. Electron., 2021)

Intelligent Multiobjective NSBGA-II Control of Power Converters in DC Microgrids. - Arezoo Vafamand; Navid Vafamand; Jafar Zarei; Roozbeh Razavi-Far; Tomislav Dragicevic (IEEE Trans. Ind. Electron., 2021)

Imputation-Based Ensemble Techniques for Class Imbalance Learning. - Roozbeh Razavi-Far; Maryam Farajzadeh-Zanjani; Boyu Wang 004; Mehrdad Saif; Shiladitya Chakrabarti (IEEE Trans. Knowl. Data Eng., 2021)

Failure Prognosis and Applications - A Survey of Recent Literature. - Mojtaba Kordestani; Mehrdad Saif; Marcos E. Orchard; Roozbeh Razavi-Far; Khashayar Khorasani (IEEE Trans. Reliab., 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)

Optimal Robust Control For Tremor Suppression in Parkinson's Disease. - Mobin Saeedi; Jafar Zarei; Hoda Balouchi; Roozbeh Razavi-Far; Mehrdad Saif (SMC, 2022)

Secure Frequency Regulation of Electric Vehicle-connected Microgrid System under Multiple Latency Attacks. - Khashayar Torabi Farsani; Navid Vafamand; Roozbeh Razavi-Far; Mehrdad Saif (Comput. Electr. Eng., 2022)

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

Classical dynamic consensus and opinion dynamics models: A survey of recent trends and methodologies. - Hossein Hassani 003; Roozbeh Razavi-Far; Mehrdad Saif; Francisco Chiclana; Ondrej Krejcar; Enrique Herrera-Viedma (Inf. Fusion, 2022)

To Tolerate or To Impute Missing Values in V2X Communications Data? - Roozbeh Razavi-Far; Daoming Wan; Mehrdad Saif; Niloofar Mozafari (IEEE Internet Things J., 2022)

Consensus-Based Decision Support Model and Fusion Architecture for Dynamic Decision Making. - Hossein Hassani 003; Roozbeh Razavi-Far; Mehrdad Saif; Enrique Herrera-Viedma (Inf. Sci., 2022)

An integrated framework for diagnosing process faults with incomplete features. - Roozbeh Razavi-Far; Mehrdad Saif; Vasile Palade; Shiladitya Chakrabarti (Knowl. Inf. Syst., 2022)

Resilient Consensus Control Design for DC Microgrids against False Data Injection Attacks Using a Distributed Bank of Sliding Mode Observers. - Yousof Barzegari; Jafar Zarei; Roozbeh Razavi-Far; Mehrdad Saif; Vasile Palade (Sensors, 2022)

Event-Triggered Adaptive Optimal Fast Terminal Sliding Mode Control Under Denial-of-Service Attacks. - Mobin Saeedi; Jafar Zarei; Roozbeh Razavi-Far; Mehrdad Saif (IEEE Syst. J., 2022)

Decentralized Resilient Output-Feedback Control Design for Networked Control Systems Under Denial-of-Service. - Amir Torabi; Jafar Zarei; Roozbeh Razavi-Far; Mehrdad Saif (IEEE Syst. J., 2022)

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

Uncertainty-Aware Management of Smart Grids Using Cloud-Based LSTM-Prediction Interval. - Seyede Zahra Tajalli; Abdollah Kavousi-Fard; Mohammad Mardaneh; Abbas Khosravi; Roozbeh Razavi-Far (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)

Intelligent Decision Support and Fusion Models for Fault Detection and Location in Power Grids. - Hossein Hassani 003; Roozbeh Razavi-Far; Mehrdad Saif; Jafar Zarei; Frede Blaabjerg (IEEE Trans. Emerg. Top. Comput. Intell., 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)

Robust ℓ₁-Controller Design for Discrete-Time Positive T-S Fuzzy Systems Using Dual Approach. - Elham Ahmadi; Jafar Zarei; Roozbeh Razavi-Far (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Robust and Reliable Output Feedback Control for Uncertain Networked Control Systems Against Actuator Faults. - Mohsen Bahreini; Jafar Zarei; Roozbeh Razavi-Far; Mehrdad Saif (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Secure and Efficient Group Decision-Making with Blockchain-Based Consensus and Trust Management. - Hossein Hassani 003; Roozbeh Razavi-Far; Mehrdad Saif; Enrique Herrera-Viedma (SMC, 2023)

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)

Blockchain-Enabled Trust Building for Managing Consensus in Linguistic Opinion Dynamics. - Hossein Hassani 003; Roozbeh Razavi-Far; Mehrdad Saif; Enrique Herrera-Viedma (IEEE Trans. Fuzzy Syst., 2023)

Observer-Based Backstepping Sliding Mode Control Design for Microgrids Feeding a Constant Power Load. - Mohammad Alipour; Jafar Zarei; Roozbeh Razavi-Far; Mehrdad Saif; Nenad Mijatovic; Tomislav Dragicevic (IEEE Trans. Ind. Electron., 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)

Reinforcement Learning-Based Feedback and Weight-Adjustment Mechanisms for Consensus Reaching in Group Decision Making. - Hossein Hassani 003; Roozbeh Razavi-Far; Mehrdad Saif; Enrique Herrera-Viedma (IEEE Trans. Syst. Man Cybern. Syst., 2023)

A Novel Fast Fixed-Time Backstepping Control of DC Microgrids Feeding Constant Power Loads. - Neda Sarrafan; Jafar Zarei; Navid Horiyat; Roozbeh Razavi-Far; Mehrdad Saif; Nenad Mijatovic; Tomislav Dragicevic (IEEE Trans. Ind. Electron., 2023)

A Few-Shot Learning Approach for Sound Source Distance Estimation Using Relation Networks. - Amirreza Sobhdel; Roozbeh Razavi-Far; Vasile Palade (ICMLA, 2024)

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

Towards Sample-Efficiency and Generalization of Transfer and Inverse Reinforcement Learning: A Comprehensive Literature Review. - Hossein Hassani 003; Roozbeh Razavi-Far; Mehrdad Saif; Liang Lin (CoRR, 2024)

Explainable Malware Detection through Integrated Graph Reduction and Learning Techniques. - Hesamodin Mohammadian; Griffin Higgins; Samuel Ansong; Roozbeh Razavi-Far; Ali A. Ghorbani 001 (CoRR, 2024)

Area in circle: A novel evaluation metric for object detection. - Xichen Zhang; Roozbeh Razavi-Far; Haruna Isah; Amir David; Griffin Higgins; Rongxing Lu; Ali A. Ghorbani 001 (Knowl. Based Syst., 2024)

Node-Centric Pruning: A Novel Graph Reduction Approach. - Hossein Shokouhi-Nejad; Roozbeh Razavi-Far; Griffin Higgins; Ali A. Ghorbani 001 (Mach. Learn. Knowl. Extr., 2024)

Resilient Finite-Time Consensus Tracking for Nonholonomic High-Order Chained-Form Systems Against DoS Attacks. - Neda Sarrafan; Jafar Zarei; Roozbeh Razavi-Far; Mehrdad Saif (IEEE Trans. Cybern., 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)

Towards privacy-preserving split learning: Destabilizing adversarial inference and reconstruction attacks in the cloud. - Griffin Higgins; Roozbeh Razavi-Far; Xichen Zhang; Amir David; Ali A. Ghorbani 001; Tongyu Ge (Internet Things, 2025)

On the consistency of GNN explanations for malware detection. - Hossein Shokouhi-Nejad; Griffin Higgins; Roozbeh Razavi-Far; Hesamodin Mohammadian; Ali A. Ghorbani 001 (Inf. Sci., 2025)

A survey on Deep Learning in Edge-Cloud Collaboration: Model partitioning, privacy preservation, and prospects. - Xichen Zhang; Roozbeh Razavi-Far; Haruna Isah; Amir David; Griffin Higgins; Michael Zhang (Knowl. Based Syst., 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)

Recent Advances in Malware Detection: Graph Learning and Explainability. - Hossein Shokouhi-Nejad; Roozbeh Razavi-Far; Hesamodin Mohammadian; Mahdi Rabbani; Samuel Ansong; Griffin Higgins; Ali A. Ghorbani 001 (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)

Large Language Models (LLMs) for Source Code Analysis: applications, models and datasets. - Hamed Jelodar; Mohammad Meymani; Roozbeh Razavi-Far (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)

Large Language Model (LLM) for Software Security: Code Analysis, Malware Analysis, Reverse Engineering. - Hamed Jelodar; Samita Bai; Parisa Hamedi; Hesamodin Mohammadian; Roozbeh Razavi-Far; Ali A. Ghorbani 001 (CoRR, 2025)

Proxy-Anchor and EVT-Driven Continual Learning Method for Generalized Category Discovery. - Alireza Fathalizadeh; Roozbeh Razavi-Far (CoRR, 2025)

Dual Explanations via Subgraph Matching for Malware Detection. - Hossein Shokouhi-Nejad; Roozbeh Razavi-Far; Griffin Higgins; Ali A. Ghorbani 001 (CoRR, 2025)

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

Explainable Attention-Guided Stacked Graph Neural Networks for Malware Detection. - Hossein Shokouhi-Nejad; Roozbeh Razavi-Far; Griffin Higgins; Ali A. Ghorbani 001 (CoRR, 2025)