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  1. GC-Fed: Gradient centralized federated learning with partial client participation

    Article • Information Fusion, July 2026, Elsevier

    F. Ozgur Catak

  2. Trustworthy AI in Safety-Critical Systems: Toward Robustness, Adversarial Resilience, and Uncertainty-Aware Intelligence

    Article • April 2026, Taylor & Francis

    F. Ozgur Catak

  3. QuantumUQ: A Library for Uncertainty Quantification in Quantum Machine Learning

    Article • February 2026, Institute of Electrical & Electronics Engineers (IEEE)

    F. Ozgur Catak

  4. Federated Large Domain Model System

    Article • Blockchain Research and Applications, September 2025, Elsevier

    F. Ozgur Catak

  5. Serverless federated learning: Decentralized spectrum sensing in heterogeneous networks

    Article • Physical Communication, June 2025, Elsevier

    F. Ozgur Catak

  6. Federated learning: Overview, strategies, applications, tools and future directions

    Article • Heliyon, October 2024, Elsevier

    F. Ozgur Catak

  7. Emerging Technologies for Privacy Preservation in Energy Systems

    Article • June 2024, ACM (Association for Computing Machinery)

    F. Ozgur Catak, David Sebastian Cardenas, F. Ozgur Catak

  8. Flexible and Lightweight Mitigation Framework for Distributed Denial-of-Service Attacks in Container-Based Edge Networks Using Kubernetes

    Article • IEEE Access, January 2024, Institute of Electrical & Electronics Engineers (IEEE)

    F. Ozgur Catak

  9. Radar Emitter Localization Based on Multipath Exploitation Using Machine Learning

    Article • IEEE Access, January 2024, Institute of Electrical & Electronics Engineers (IEEE)

    F. Ozgur Catak

  10. Deployment and Implementation Aspects of Radio Frequency Fingerprinting in Cybersecurity of Smart Grids

    Article • Electronics, December 2023, MDPI AG

    F. Ozgur Catak

  11. A Practical Implementation of Medical Privacy-Preserving Federated Learning Using Multi-Key Homomorphic Encryption and Flower Framework

    Article • Cryptography, October 2023, MDPI AG

    F. Ozgur Catak

  12. Cybersecurity and Digital Privacy Aspects of V2X in the EV Charging Structure

    Article • June 2023, ACM (Association for Computing Machinery)

    F. Ozgur Catak, Onur ELMA, F. Ozgur Catak

  13. Cyber-physical Hardening of the Digital Water Infrastructure

    Article • June 2023, ACM (Association for Computing Machinery)

    F. Ozgur Catak, F. Ozgur Catak

  14. Modelling and Design of Pre-Equalizers for a Fully Operational Visible Light Communication System

    Article • Sensors, June 2023, MDPI AG

    F. Ozgur Catak

  15. An XAI approach for COVID-19 detection using transfer learning with X-ray images

    Article • Heliyon, April 2023, Elsevier

    F. Ozgur Catak

  16. Towards robust autonomous driving systems through adversarial test set generation

    Article • ISA Transactions, January 2023, Elsevier

    F. Ozgur Catak

  17. Defending AI-Based Automatic Modulation Recognition Models Against Adversarial Attacks

    Article • IEEE Access, January 2023, Institute of Electrical & Electronics Engineers (IEEE)

    F. Ozgur Catak

  18. Adversarial security mitigations of mmWave beamforming prediction models using defensive distillation and adversarial retraining

    Article • International Journal of Information Security, November 2022, Springer Science + Business Media

    F. Ozgur Catak

  19. Highly Uncertain Input Rejection for AI based Cyber-Physical Systems

    Article • ACM Transactions on Software Engineering and Methodology, October 2022, ACM (Association for Computing Machinery)

    F. Ozgur Catak, F. Ozgur Catak

  20. Defensive Distillation based Adversarial Attacks Mitigation Method for Channel Estimation using Deep Learning Models in Next-Generation Wireless Networks

    Article • August 2022, Institute of Electrical & Electronics Engineers (IEEE)

    F. Ozgur Catak

  21. BFV-Based Homomorphic Encryption for Privacy-Preserving CNN Models

    Article • Cryptography, July 2022, MDPI AG

    F. Ozgur Catak

  22. Closeness and uncertainty aware adversarial examples detection in adversarial machine learning

    Article • Computers & Electrical Engineering, July 2022, Elsevier

    F. Ozgur Catak

  23. Security concerns on machine learning solutions for 6G networks in mmWave beam prediction

    Article • Physical Communication, June 2022, Elsevier

    F. Ozgur Catak

  24. On the Performance of Energy Criterion Method in Wi-Fi Transient Signal Detection

    Article • Electronics, January 2022, MDPI AG

    F. Ozgur Catak

  25. A secure and efficient Internet of Things cloud encryption scheme with forensics investigation compatibility based on identity-based encryption

    Article • Future Generation Computer Systems, December 2021, Elsevier

    F. Ozgur Catak

  26. Data augmentation based malware detection using convolutional neural networks

    Article • PeerJ Computer Science, January 2021, PeerJ

    F. Ozgur Catak

  27. Deep Neural Network Based Malicious Network Activity Detection Under Adversarial Machine Learning Attacks

    Article • January 2021, Springer Science + Business Media

    F. Ozgur Catak

  28. Malicious URL Detection Using Machine Learning

    Article • January 2021, IGI Global

    F. Ozgur Catak

  29. A Privacy-Preserving Fully Homomorphic Encryption and Parallel Computation Based Biometric Data Matching

    Article • July 2020, MDPI AG

    F. Ozgur Catak

  30. Password‐based encryption approach for securing sensitive data

    Article • Security and Privacy, July 2020, Wiley

    F. Ozgur Catak

  31. Practical Implementation of Privacy Preserving Clustering Methods Using a Partially Homomorphic Encryption Algorithm

    Article • Electronics, January 2020, MDPI AG

    F. Ozgur Catak

  32. Preventing Data Poisoning Attacks By Using Generative Models

    Article • November 2019, Institute of Electrical & Electronics Engineers (IEEE)

    F. Ozgur Catak

  33. Distributed denial of service attack detection using autoencoder and deep neural networks

    Article • Journal of Intelligent & Fuzzy Systems Applications in Engineering and Technology, October 2019, IOS Press

    F. Ozgur Catak

  34. Classification of Methamorphic Malware with Deep Learning(LSTM)

    Article • April 2019, Institute of Electrical & Electronics Engineers (IEEE)

    F. Ozgur Catak

  35. Incrementing Adversarial Robustness with Autoencoding for Machine Learning Model Attacks

    Article • April 2019, Institute of Electrical & Electronics Engineers (IEEE)

    F. Ozgur Catak

  36. Sensor Based Cyber Attack Detections in Critical Infrastructures Using Deep Learning Algorithms

    Article • Computer Science, January 2019, AGHU University of Science and Technology Press

    F. Ozgur Catak

  37. Two-layer malicious network flow detection system with sparse linear model based feature selection

    Article • Journal of the National Science Foundation of Sri Lanka, December 2018, Sri Lanka Journals Online (SLJOL)

    F. Ozgur Catak

  38. CPP-ELM: Cryptographically Privacy-Preserving Extreme Learning Machine for Cloud Systems

    Article • International Journal of Computational Intelligence Systems, January 2018, Atlantis Press

    F. Ozgur Catak

  39. Detection of attack-targeted scans from the Apache HTTP Server access logs

    Article • Applied Computing and Informatics, January 2018, Elsevier

    F. Ozgur Catak

  40. Privacy preserving extreme learning machine classification model for distributed systems

    Article • May 2016, Institute of Electrical & Electronics Engineers (IEEE)

    F. Ozgur Catak

  41. A MapReduce-based distributed SVM algorithm for binary classification

    Article • TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, January 2016, The Scientific and Technological Research Council of Turkey

    F. Ozgur Catak

  42. Classification with boosting of extreme learning machine over arbitrarily partitioned data

    Article • Soft Computing, November 2015, Springer Science + Business Media

    F. Ozgur Catak

  43. Classification with Extreme Learning Machine and ensemble algorithms over randomly partitioned data

    Article • May 2015, Institute of Electrical & Electronics Engineers (IEEE)

    F. Ozgur Catak

  44. Robust Ensemble Classifier Combination Based on Noise Removal with One-Class SVM

    Article • January 2015, Springer Science + Business Media

    F. Ozgur Catak

  45. Secure Multi-party Computation Based Privacy Preserving Extreme Learning Machine Algorithm Over Vertically Distributed Data

    Article • January 2015, Springer Science + Business Media

    F. Ozgur Catak

  46. CloudSVM: Training an SVM Classifier in Cloud Computing Systems

    Article • January 2013, Springer Science + Business Media

    F. Ozgur Catak