Ferhat Özgur Catak

Espen Sele; Ferhat Özgur Catak; Jungwon Seo; Murat Kuzlu (2025) Secure federated learning via neural cryptography with homomorphic operations. I: Discover Artificial Intelligence. Online ISSN 2731-0809. Volum 5. DOI: 10.1007/s44163-025-00630-0

Sara Brunner; Anders Johannessen; Jorge Garcia-Torres Fernandez; Ferhat Özgur Catak; Øyvind Meinich-Bache; Siren Irene Rettedal; Kjersti Engan (2025) Consent-driven, semi-automated data collection during birth and newborn resuscitation: Insights from the NewbornTime study. I: PLOS Digital Health. Online ISSN 2767-3170. Volum 4. s.0000730-0000730. DOI: 10.1371/journal.pdig.0000730

Ferhat Özgur Catak; Murat Kuzlu; Yaser Dalveren; Gokcen Ozdemir (2025) Serverless federated learning: Decentralized spectrum sensing in heterogeneous networks. I: Physical Communication. ISSN 1874-4907. Volum 70. DOI: 10.1016/j.phycom.2025.102634

Chunming Rong; Jungwon Seo; Zihang Zhao; Ferhat Özgur Catak; Jiahui Geng; Martin Gilje Jaatun (2025) Federated large domain model system. I: Blockchain: Research and Applications. ISSN 2096-7209. Volum 6. DOI: 10.1016/j.bcra.2025.100277

Ferhat Özgur Catak; Murat Kuzlu (2024) A Cryptographic Federated Learning-Based Channel Estimation for Next-Generation Networks. I: Ferhat Özgur Catak, 2023 IEEE Virtual Conference on Communications (VCC). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9798350318807. s.92-97. DOI: 10.1109/VCC60689.2023.10474729

Ferhat Özgur Catak; Murat Kuzlu (2024) A Federated Adversarial Learning Approach for Robust Spectrum Sensing. I: Mediterranean Conference on Embedded Computing (MECO). ISSN 2377-5475. DOI: 10.1109/MECO62516.2024.10577941

Sarp Koksal; Ferhat Özgur Catak; Yaser Dalveren (2024) Flexible and Lightweight Mitigation Framework for Distributed Denial-of-Service Attacks in Container-Based Edge Networks Using Kubernetes. I: IEEE Access. Online ISSN 2169-3536. Volum 12. s.172980-172991. DOI: 10.1109/ACCESS.2024.3501192

Ferhat Özgur Catak; Murat Kuzlu (2024) Trustworthy AI: From Theory to Practice. Amazon Kindle Direct Publishing. ISBN 9798876639592.

Jungwon Seo; Ferhat Özgur Catak; Rong Chunming (2024) Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study. I: NIKT: Norsk IKT-konferanse for forskning og utdanning. ISSN 1892-0713.

Gokcen Ozdemir; Murat Kuzlu; Salih Sarp; Ferhat Özgur Catak; Berhane Darsene Dimd; Umit Cali (2024) The role of eXplainable Artificial Intelligence (XAI) in smart grids. I: Reza Arghandeh; Yuxun Zhou, Big data application in power systems. Elsevier. ISBN 9780443219511. s.349-370. DOI: 10.1016/B978-0-443-21524-7.00011-6

Umit Cali; Sri Nikhil Gupta Gourisetti; David Jonathan Sebastian-Cardenas; Ferhat Özgur Catak; Annabelle Lee; Linda M. Zeger; Taha Selim Ustun; Marthe Fogstad Dynge; Sreedhar Rao; Javier E. Ramirez (2024) Emerging technologies for privacy preservation in energy systems. I: Shujun Li; Kovila Coopamootoo; Michael Sirivianos, EICC '24: Proceedings of the 2024 European Interdisciplinary Cybersecurity Conference. Association for Computing Machinery (ACM). ISBN 9798400716515. s.163-170. DOI: 10.1145/3655693.3656546

Murat Kuzlu; Salih Sarp; Ferhat Özgur Catak; Umit Cali; Yanxiao Zhao (2024) Technology forecasting : A secure solar power generation forecasting framework for recurrent neural networks. I: Haydar Yalcin; Tugrul U. Daim, Future-oriented technology assessment : A manager's guide with case applications. John Wiley & Sons. ISBN 9781119909873. s.87-112. DOI: 10.1002/9781119909880.ch4

Ferhat Özgur Catak; Murat Kuzlu (2024) Uncertainty quantification in large language models through convex hull analysis. I: Discover Artificial Intelligence. Online ISSN 2731-0809. Volum 4. DOI: 10.1007/s44163-024-00200-w

Umit Cali; Ferhat Özgur Catak; Ugur Halden (2024) Trustworthy cyber-physical power systems using AI: dueling algorithms for PMU anomaly detection and cybersecurity. I: Artificial Intelligence Review. ISSN 0269-2821. Volum 57. DOI: 10.1007/s10462-024-10827-x

Gokcen Ozdemir; Murat Kuzlu; Ferhat Özgur Catak (2024) Machine learning insights into forecasting solar power generation with explainable AI. I: Electrical engineering (Berlin. Print). ISSN 0948-7921. DOI: 10.1007/s00202-024-02933-4

Betul Yurdem; Murat Kuzlu; Mehmet Kemal Gullu; Ferhat Özgur Catak; Maliha Tabassum (2024) Federated learning: Overview, strategies, applications, tools and future directions. I: Heliyon. Online ISSN 2405-8440. Volum 10. DOI: 10.1016/j.heliyon.2024.e38137

Haolin Tang; Yanxiao Zhao; Murat Kuzlu; Changqing Luo; Ferhat Özgur Catak; Wei Wang (2024) Automatic Modulation Recognition Using Parallel Feature Extraction Architecture. I: Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. Volum 14998. s.216-228. DOI: 10.1007/978-3-031-71467-2_18

Gokcen Ozdemir; Umut Ozdemir; Murat Kuzlu; Ferhat Özgur Catak (2024) A Benchmark for ML-based Solar Power Generation Forecasting Models. I: Mediterranean Conference on Embedded Computing (MECO). ISSN 2377-5475. DOI: 10.1109/MECO62516.2024.10577910

Ferhat Özgur Catak; Md Abdullah Al Imran; Yaser Dalveren; Beytullah Yildiz; Ali Kara (2024) Radar Emitter Localization Based on Multipath Exploitation Using Machine Learning. I: IEEE Access. Online ISSN 2169-3536. Volum 12. s.163367-163381. DOI: 10.1109/ACCESS.2024.3488959

Salih Sarp; Ferhat Özgur Catak; Murat Kuzlu; Umit Cali; Huseyin Kusetogullari; Yanxiao Zhao; Gungor Ates; Ozgur Guler (2023) An XAI approach for COVID-19 detection using transfer learning with X-ray images. I: Heliyon. Online ISSN 2405-8440. Volum 9. DOI: 10.1016/j.heliyon.2023.e15137

Ivar Walskaar; Minh Christian Tran; Ferhat Özgur Catak (2023) A Practical Implementation of Medical Privacy-Preserving Federated Learning Using Multi-Key Homomorphic Encryption and Flower Framework. I: Cryptography. Online ISSN 2410-387X. Volum 7. DOI: 10.3390/cryptography7040048

Umit Cali; Ferhat Özgur Catak; Zsolt György Balogh; Rita Maria Ugarelli; Martin Gilje Jaatun (2023) Cyber-physical hardening of the digital water infrastructure. I: Aleksandra Mileva; Steffen Wendzel; Virginia Franqueira, EICC '23: Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference, Stavanger, June 2023. Association for Computing Machinery (ACM). ISBN 9781450398299. s.181-188. DOI: 10.1145/3590777.3591408

Murat Kuzlu; Brian Emmanuel Tamayo; Salih Sarp; Ferhat Özgur Catak; Umit Cali; Yanxiao Zhao (2023) Security Concerns of Adversarial Attack for LSTM/BiLSTM Based Solar Power Forecasting. I: IEEE Power & Energy Society General Meeting. ISSN 1944-9925. DOI: 10.1109/PESGM52003.2023.10252305

Maliha Tabassum; Murat Kuzlu; Ferhat Özgur Catak; Salih Sarp; Kevser Sahinbas (2023) Secure Future Healthcare Applications Through Federated Learning Approaches. I: Communications in Computer and Information Science (CCIS). ISSN 1865-0929. Volum 1983. s.214-225. DOI: 10.1007/978-3-031-50920-9_17

Haolin Tang; Ferhat Özgur Catak; Murat Kuzlu; Catak Evren; Yanxiao Zhao (2023) Defending AI-Based Automatic Modulation Recognition Models Against Adversarial Attacks. I: IEEE Access. Online ISSN 2169-3536. Volum 11. s.76629-76637. DOI: 10.1109/ACCESS.2023.3296805

Kevser Sahinbas; Ferhat Özgur Catak; Murat Kuzlu; Maliha Tabassum; Salih Sarp (2023) Non-Cryptographic Privacy Preserving Machine Learning Methods: A Review. I: Communications in Computer and Information Science (CCIS). ISSN 1865-0929. Volum 1983. s.410-421. DOI: 10.1007/978-3-031-50920-9_32

Maaz Ali Awan; Yaser Dalveren; Ferhat Özgur Catak; Ali Kara (2023) Deployment and Implementation Aspects of Radio Frequency Fingerprinting in Cybersecurity of Smart Grids. I: Electronics (Basel). Online ISSN 2079-9292. Volum 12. DOI: 10.3390/electronics12244914

Ferhat Özgur Catak; Umit Cali; Murat Kuzlu; Salih Sarp (2023) Uncertainty Aware Deep Learning Model for Secure and Trustworthy Channel Estimation in 5G Networks. I: Mediterranean Conference on Embedded Computing (MECO). ISSN 2377-5475. DOI: 10.1109/MECO58584.2023.10155011

Murat Bostanoglu; Yaser Dalveren; Ferhat Özgur Catak; Ali Kara (2023) Modelling and Design of Pre-Equalizers for a Fully Operational Visible Light Communication System. I: Sensors. Online ISSN 1424-8220. Volum 23. DOI: 10.3390/s23125584

Umit Cali; Murat Kuzlu; Onur Elma; Osman Gazi Gucluturk; Ahmet Kilic; Ferhat Özgur Catak (2023) Cybersecurity and Digital Privacy Aspects of V2X in the EV Charging Structure. I: Aleksandra Mileva; Steffen Wendzel; Virginia Franqueira, EICC '23: Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference, Stavanger, June 2023. Association for Computing Machinery (ACM). ISBN 9781450398299. s.174-180. DOI: 10.1145/3590777.3591406

Murat Kuzlu; Zhenxin Xiao; Salih Sarp; Ferhat Özgur Catak; Necip Gurler; Ozgur Guler (2023) The Rise of Generative Artificial Intelligence in Healthcare. I: Mediterranean Conference on Embedded Computing (MECO). ISSN 2377-5475. DOI: 10.1109/MECO58584.2023.10155107

Salih Sarp; Murat Kuzlu; Yanxiao Zhao; Ferhat Özgur Catak; Umit Cali; Vukica Jovanovic; Ozgur Guler (2023) Digital twin in chronic wound management. I: Moharram Challenger; Ömer Aydin; Umit Cali; Enis Karaarslan, Digital twin driven intelligent systems and emerging metaverse. Springer. ISBN 9789819902514. s.233-248. DOI: 10.1007/978-981-99-0252-1_11

Durdu Hakan Utku; Ferhat Özgur Catak; Murat Kuzlu; Salih Sarp; Vukica Jovanovic; Umit Cali; Nasibeh Zohrabi (2023) Digital twin applications for smart and connected cities. I: Umit Cali; Enis Karaarslan; Moharram Challenger; Ömer Aydin, Digital twin driven intelligent systems and emerging metaverse. Springer. ISBN 9789819902514. s.141-154. DOI: 10.1007/978-981-99-0252-1_6

Omer Faruk Tuna; Ferhat Özgur Catak; Taner Eskil (2023) TENET: a new hybrid network architecture for adversarial defense. I: International Journal of Information Security. ISSN 1615-5262. DOI: 10.1007/s10207-023-00675-1

Ugur Halden; Umit Cali; Ferhat Özgur Catak; Salvatore D'Arco; Francisco Bilendo (2023) Anomaly Detection in Power Markets and Systems. I: . PESGM 2023, 2023 IEEE Power & Energy Society General Meeting - PESGM. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781665464413. DOI: 10.1109/PESGM52003.2023.10252380

Ferhat Özgur Catak; Evren Catak; Ogerta Elezaj (2023) 5G-SRNG: 5G Spectrogram-based Random Number Generation for Devices with Low Entropy Sources. I: . ., 2023 IEEE International Conference on Omni-layer Intelligent Systems July 23 – July 25, 2023 Berlin, Germany. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9798350346473.

Vukica Jovanovic; Murat Kuzlu; Umit Cali; Durdu Hakan Utku; Ferhat Özgur Catak; Salih Sarp; Nasibeh Zohrabi (2023) Digital twin in industry 4.0 and beyond applications. I: Enis Karaarslan; Ömer Aydin; Moharram Challenger; Umit Cali, Digital twin driven intelligent systems and emerging metaverse. Springer. ISBN 9789819902514. s.155-174. DOI: 10.1007/978-981-99-0252-1_7

Murat Kuzlu; Ferhat Özgur Catak; Salih Sarp; Umit Cali; Oezguer Gueler (2023) A Streamlit-based Artificial Intelligence Trust Platform for Next-generation Wireless Networks. I: Mangra Narendra, 2022 IEEE Future Networks World Forum (FNWF 2022). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781665462518. s.94-97. DOI: 10.1109/FNWF55208.2022.00025

Kevser Sahinbas; Ferhat Özgur Catak (2023) Secure multi-party computation-based privacy-preserving data analysis in healthcare IoT systems. I: Internet of Things. ISSN 2199-1073. s.57-72. DOI: 10.1007/978-3-031-08637-3_3

Yuval Abraham Regev; Henrik Vassdal; Ugur Halden; Ferhat Özgur Catak; Umit Cali (2023) Hybrid AI-based Anomaly Detection Model using Phasor Measurement Unit Data. I: . IEEE, 2022 IEEE 1st Global Emerging Technology Blockchain Forum: Blockchain & Beyond (iGETblockchain 2022). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781665451987. DOI: 10.1109/iGETblockchain56591.2022.10087111

Murat Kuzlu; Zhenxin Xiao; Maliha Tabassum; Ferhat Özgur Catak (2023) A robust diabetes mellitus prediction system based on federated learning strategies. I: . IEEE, 2023 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9798350339291. DOI: 10.1109/ICCNS58795.2023.10192981

Ferhat Özgur Catak; Murat Kuzlu; Salih Sarp; Catak Evren; Umit Cali (2023) Mitigating Attacks on Artificial Intelligence-based Spectrum Sensing for Cellular Network Signals. I: IEEE Global Communications Conference (GLOBECOM). ISSN 2334-0983. DOI: 10.1109/GCWkshps56602.2022.10008604

Murat Kuzlu; Ferhat Özgur Catak; Yanxiao Zhao; Salih Sarp; Catak Evren (2023) Security and Privacy Concerns in Next-Generation Networks Using Artificial Intelligence-Based Solutions: A Potential Use Case. I: Advanced Sciences and Technologies for Security Applications. ISSN 1613-5113. DOI: 10.1007/978-3-031-33631-7_7

Febrianti Wibawa; Ferhat Özgur Catak; Murat Kuzlu; Salih Sarp; Umit Cali (2022) Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case. I: David Megías; Roberto Di Pietro; Joaquín García-Alfaro, EICC '22: Proceedings of the 2022 European Interdisciplinary Cybersecurity Conference. Association for Computing Machinery (ACM). ISBN 9781450396035. DOI: 10.1145/3528580.3532845

Omer Faruk Tuna; Ferhat Özgur Catak; Taner Eskil (2022) Unreasonable Effectiveness of Last Hidden Layer Activations for Adversarial Robustness. I: Hossain Shahriar; Sahra Sedigh Sarvestani; Alfredo Cuzzocrea; Hong Va Leong; Yuuichi Teranishi; Dave Towey; Ji-Jiang Yang; Hiroki Kashiwazaki, 2022 IEEE 46th Annual Computers, Software, and Applications Conference. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781665488105. DOI: 10.1109/COMPSAC54236.2022.00172

Omer Faruk Tuna; Ferhat Özgur Catak; Taner Eskil (2022) Closeness and uncertainty aware adversarial examples detection in adversarial machine learning. I: Computers and Electrical Engineering. ISSN 0045-7906. Volum 101. DOI: 10.1016/j.compeleceng.2022.107986

Ferhat Özgur Catak; Tao Yue; Shaukat Ali (2022) Uncertainty-aware Prediction Validator in Deep Learning Models for Cyber-physical System Data. I: ACM Transactions on Software Engineering and Methodology. ISSN 1049-331X. Volum 31. DOI: 10.1145/3527451

Ismail Mohamed; Yaser Dalveren; Ferhat Özgur Catak; Ali Kara (2022) On the Performance of Energy Criterion Method in Wi-Fi Transient Signal Detection. I: Electronics (Basel). Online ISSN 2079-9292. Volum 11. DOI: 10.3390/electronics11020269

Murat Kuzlu; Ferhat Özgur Catak; Umit Cali; Catak Evren; Ozgur Guler (2022) Adversarial security mitigations of mmWave beamforming prediction models using defensive distillation and adversarial retraining. I: International Journal of Information Security. ISSN 1615-5262. DOI: 10.1007/s10207-022-00644-0

Ferhat Özgur Catak; Murat Kuzlu; Evren Catak; Umit Cali; Devrim Unal (2022) Security concerns on machine learning solutions for 6G networks in mmWave beam prediction. I: Physical Communication. ISSN 1874-4907. Volum 52. DOI: 10.1016/j.phycom.2022.101626

Febrianti Wibawa; Ferhat Özgur Catak; Salih Sarp; Murat Kuzlu (2022) BFV-Based Homomorphic Encryption for Privacy-Preserving CNN Models. I: Cryptography. Online ISSN 2410-387X. Volum 6. DOI: 10.3390/cryptography6030034

Devrim Unal; Shada Bennbaia; Ferhat Özgur Catak (2022) Machine learning for the security of healthcare systems based on internet of things and edge computing. I: Ahmed A. Moustafa, Cybersecurity and cognitive science. Elsevier. ISBN 9780323905701. s.299-320. DOI: 10.1016/B978-0-323-90570-1.00007-3

Kevser Sahinbas; Ferhat Özgur Catak (2022) Customer Segmentation in the Retail Sector: A Data Analytics Approach. I: Yongchuan Tang, 2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781665461696. s.174-178. DOI: 10.1109/IHMSC55436.2022.00048

Ferhat Özgur Catak; Murat Kuzlu; Evren Catak; Umit Cali; Ozgur Guler (2022) Defensive Distillation-Based Adversarial Attack Mitigation Method for Channel Estimation Using Deep Learning Models in Next-Generation Wireless Networks. I: IEEE Access. Online ISSN 2169-3536. Volum 10. s.98191-98203. DOI: 10.1109/ACCESS.2022.3206385

Omer Faruk Tuna; Ferhat Özgur Catak; Taner Eskil (2022) Uncertainty as a Swiss army knife: new adversarial attack and defense ideas based on epistemic uncertainty. I: Complex & Intelligent Systems. ISSN 2199-4536. s.1-19. DOI: 10.1007/s40747-022-00701-0

Devrim Unal; Ferhat Özgur Catak; Mohammad Talal Houkan; Mohammed Mudassir; Mohammad Hammoudeh (2022) Towards robust autonomous driving systems through adversarial test set generation. I: ISA transactions. ISSN 0019-0578. DOI: 10.1016/j.isatra.2022.11.007

Ferhat Özgur Catak; Murat Kuzlu; Haolin Tang; Catak Evren; Yanxiao Zhao (2022) Security Hardening of Intelligent Reflecting Surfaces Against Adversarial Machine Learning Attacks. I: IEEE Access. Online ISSN 2169-3536. Volum 10. s.100267-100275. DOI: 10.1109/ACCESS.2022.3206012

Omer Faruk Tuna; Ferhat Özgur Catak; Taner Eskil (2022) Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples. I: Multimedia Tools and Applications. ISSN 1380-7501. Volum 81. DOI: 10.1007/s11042-022-12132-7

Murat Kuzlu; Salih Sarp; Ferhat Özgur Catak; Umit Cali; Yanxiao Zhao; Onur Elma; Ozgur Guler (2022) Analysis of deceptive data attacks with adversarial machine learning for solar photovoltaic power generation forecasting. I: Electrical engineering (Berlin. Print). ISSN 0948-7921. DOI: 10.1007/s00202-022-01601-9

Ferhat Özgur Catak; Sule Yildirim Yayilgan (2021) Deep Neural Network based Malicious Network Activity Detection Under Adversarial Machine Learning Attacks. I: Communications in Computer and Information Science (CCIS). ISSN 1865-0929. Volum 1382. s.280-291. DOI: 10.1007/978-3-030-71711-7_23

Devrim Unal; Ferhat Özgur Catak (2021) A secure and efficient Internet of Things cloud encryption scheme with forensics investigation compatibility based on identity-based encryption. I: Future Generation Computer Systems. ISSN 0167-739X. DOI: 10.1016/j.future.2021.06.050

Ferhat Özgur Catak; Ahmet Faruk Yazi; Ogerta Elezaj; Javed Ahmed (2020) Deep learning based Sequential model for malware analysis using Windows exe API Calls. I: PeerJ Computer Science. Online ISSN 2376-5992. Volum 6. s.1-23. DOI: 10.7717/peerj-cs.285

Ahmet Fatih Mustacoglu; Ferhat Özgur Catak; Geoffrey C. Fox (2020) Password‐based encryption approach for securing sensitive data. I: Security and Privacy. Online ISSN 2475-6725. s.1-12. DOI: 10.1002/spy2.121

Ferhat Özgur Catak; Ismail Aydin; Ogerta Elezaj; Sule Yildirim Yayilgan (2020) Practical Implementation of Privacy Preserving Clustering Methods Using a Partially Homomorphic Encryption Algorithm. I: Electronics (Basel). Online ISSN 2079-9292. Volum 9. s.1-20. DOI: 10.3390/electronics9020229

Ferhat Özgur Catak; Ahmet Fatih Mustacoglu (2019) Distributed denial of service attack detection using autoencoder and deep neural networks. I: Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology. ISSN 1064-1246. Volum 37. s.3969-3979. DOI: 10.3233/JIFS-190159

Murat Yilmaz; Ferhat Özgur Catak; Ensar Gul (2019) Sensor Based Cyber Attack Detections in Critical Infrastructures Using Deep Learning Algorithms. I: Computer Science. ISSN 1407-7493. Volum 20. s.213-243. DOI: 10.7494/csci.2019.20.2.3191

Merve Bas Seyyar; Ferhat Özgur Catak; Ensar Gul (2018) Detection of Attack-Targeted Scans from The Apache HTTP Server Access Logs. I: Applied Computing and Informatics. ISSN 2634-1964. Volum 14. s.28-36. DOI: 10.1016/j.aci.2017.04.002

Ferhat Özgur Catak; Ahmet Fatih Mustacoglu (2018) CPP-ELM: Cryptographically Privacy-Preserving Extreme Learning Machine for Cloud Systems. I: International Journal of Computational Intelligence Systems. ISSN 1875-6891. Volum 11. s.33-44. DOI: 10.2991/ijcis.11.1.3

Ferhat Özgur Catak (2018) Two-layer malicious network flow detection system with sparse linear model based feature selection. I: Journal of the National Science Foundation of Sri Lanka. ISSN 2362-0161. Volum 46. s.601-612. DOI: 10.4038/jnsfsr.v46i4.8560

Ferhat Özgur Catak (2017) Classification with boosting of extreme learning machine over arbitrarily partitioned data. I: Soft Computing - A Fusion of Foundations, Methodologies and Applications. ISSN 1432-7643. Volum 21. s.2269-2281. DOI: 10.1007/s00500-015-1938-4

Ferhat Özgur Catak; Mehmet Erdal Balaban (2016) A MapReduce-based distributed SVM algorithm for binary classification. I: Turkish Journal of Electrical Engineering and Computer Sciences. ISSN 1300-0632. Volum 24. s.863-873. DOI: 10.3906/elk-1302-68

Ferhat Özgur Catak (2015) Robust Ensemble Classifier Combination Based on Noise Removal with One-Class SVM. I: Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. Volum 9490. s.10-17. DOI: 10.1007/978-3-319-26535-3_2

Ferhat Özgur Catak (2015) Secure Multi-Party Computation Based Privacy Preserving Extreme Learning Machine Algorithm Over Vertically Distributed Data. I: Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. Volum 9490. s.337-345. DOI: 10.1007/978-3-319-26535-3_39

Ferhat Özgur Catak (2013) CloudSVM : Training an SVM Classifier in Cloud Computing Systems. I: Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. s.57-68. DOI: 10.1007/978-3-642-37015-1_6

Murat Kuzlu; Ferhat Özgur Catak; Yanxiao Zhao; Gokcen Ozdemir (2025) AI in Next Generation Networks (5G and Beyond): Fundamentals, Security and Applications. Amazon Kindle Direct Publishing. ISBN 9798289987839. DOI: https://www.amazon.com/Next-Generation-Networks-Beyond-Fundamentals/dp/B0FKZL3SN9

Ferhat Özgur Catak; Chunming Rong; Øyvind Meinich-Bache; Sara Brunner; Kjersti Engan (2025) Building Trust in Healthcare with Privacy Techniques: Blockchain in the Cloud. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9798331596514. DOI: 10.1109/hswtech64936.2025.11278137

Mina Cecilie Wøien; Ferhat Özgur Catak; Murat Kuzlu; Umit Cali (2025) Neural Networks Meet Elliptic Curve Cryptography: A Novel Approach to Secure Communication. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9798331530099. DOI: 10.1109/VCC63113.2024.10914360

Ferhat Özgur Catak (2024) 2023 IEEE Virtual Conference on Communications (VCC). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9798350318807.

Ferhat Özgur Catak; Oddvar Nordbø Øksendal (2023) 5G RF Spectrum-based Cryptographic Pseudo Random Number Generation for IoT Security. Universitetet i Stavanger.

Ferhat Özgur Catak; Ahmet Faruk Yazi; Ensar Gul (2019) Classification of Methamorphic Malware with Deep Learning (LSTM). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781728119045. DOI: 10.1109/SIU.2019.8806571

Ferhat Özgur Catak; Samed Sivaslioglu; Ensar Gul (2019) Incrementing Adversarial Robustness with Autoencoding for Machine Learning Model Attacks. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781728119045. DOI: 10.1109/SIU.2019.8806432

Merve Aladag; Ferhat Özgur Catak; Ensar Gul (2019) Preventing Data Poisoning Attacks By Using Generative Models. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781728139937. DOI: 10.1109/UBMYK48245.2019.8965459

Ferhat Özgur Catak (2015) Classification with Extreme Learning Machine and ensemble algorithms over randomly partitioned data. IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781467373869. DOI: 10.1109/SIU.2015.7129801

Ferhat Özgur Catak; Tao Yue; Shaukat Ali (2021) Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous Driving. IEEE International Conference on Artificial Intelligence Testing (AITest); 2021-08-23 - 2021-08-26.

Catak Evren; Ferhat Özgur Catak; Arild Moldsvor (2021) Adversarial Machine Learning Security Problems for 6G: mmWave Beam Prediction Use-Case. 2021 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom); 2021-05-24 - 2021-05-28.

Ferhat Özgur Catak; Sule Yildirim Yayilgan; Mohamed Abomhara (2020) A Privacy-Preserving Fully Homomorphic Encryption and Parallel Computation Based Biometric Data Matching. I: preprints.org > mathematics & computer science > information technology & data management. DOI: 10.20944/preprints202007.0658.v1