Ferhat Özgur Catak

Førsteamanuensis i datasikkerhet

Ferhat Özgur Catak

Kontakt

E-post: f.ozgur.catak@uis.no

Sted: KE D-436

Organisasjonsenhet

Det teknisk-naturvitenskapelige fakultet

Institutt for data- og elektroteknologi

Kort om meg

F. Ozgur Catak is an Associate Professor of Cyber Security at the University of Stavanger, Norway. 

5G and Beyond Cyber Security

My research outputs and implementations can be found on CyberSecurity of 5G/6G Networks page. If you are interested in collaborating on 5G and beyond cyber security research, please do not hesitate to contact me.

I am interested in Cyber security, 5G/6G and beyond wireless systems, data privacy, machine/deep learning covering the theoretical, applicative, and computational aspects. My primary research interests lie broadly in deep learning.

  • AI based 5G/6G and beyond wireless networks
  • Adversarial Machine Learning (AI hacking)
  • Homomorphic Encryption based Data Privacy
  • Machine learning methods in Cybersecurity (Malware analysis, network flows)
  • Uncertainty methods in deep learning

Følg meg på nett

LinkedIn X (tidligere Twitter)

Publikasjoner

Vitenskapelige publikasjoner

Catak, Ferhat Özgur; Kuzlu, Murat

(2024)

A Cryptographic Federated Learning-Based Channel Estimation for Next-Generation Networks. I: 2023 IEEE Virtual Conference on Communications (VCC).

IEEE conference proceedings.

ISBN 979-8-3503-1880-7.

s.92-97.

DOI: 10.1109/VCC60689.2023.10474729

Catak, Ferhat Özgur; Kuzlu, Murat

(2024)

Trustworthy AI: From Theory to Practice.

ISBN 979-8876639592.

Cali, Umit; Catak, Ferhat Özgur; Halden, Ugur

(2024)

Trustworthy cyber-physical power systems using AI: dueling algorithms for PMU anomaly detection and cybersecurity.

Artificial Intelligence Review.

ISSN 0269-2821.

Volum 57.

Hefte 7.

DOI: 10.1007/s10462-024-10827-x

Catak, Ferhat Özgur; Kuzlu, Murat

(2024)

A Federated Adversarial Learning Approach for Robust Spectrum Sensing.

Mediterranean Conference on Embedded Computing (MECO).

ISSN 2377-5475.

DOI: 10.1109/MECO62516.2024.10577941

Ozdemir, Gokcen; Kuzlu, Murat; Sarp, Salih; Catak, Ferhat Özgur; Dimd, Berhane Darsene; Cali, Umit

(2024)

The role of eXplainable Artificial Intelligence (XAI) in smart grids. I: Big data application in power systems.

Elsevier.

ISBN 9780443219511.

s.349-370.

DOI: 10.1016/B978-0-443-21524-7.00011-6

Yurdem, Betul; Kuzlu, Murat; Gullu, Mehmet Kemal; Catak, Ferhat Özgur; Tabassum, Maliha

(2024)

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

Heliyon.

ISSN 2405-8440.

Volum 10.

Hefte 19.

DOI: 10.1016/j.heliyon.2024.e38137

Cali, Umit; Gourisetti, Sri Nikhil Gupta; Sebastian-Cardenas, David Jonathan; Catak, Ferhat Özgur; Lee, Annabelle; Zeger, Linda M.; Ustun, Taha Selim; Dynge, Marthe Fogstad; Rao, Sreedhar; Ramirez, Javier E.

(2024)

Emerging technologies for privacy preservation in energy systems. I: EICC '24: Proceedings of the 2024 European Interdisciplinary Cybersecurity Conference.

ACM Publications.

ISBN 979-8-4007-1651-5.

s.163-170.

DOI: 10.1145/3655693.3656546

Kuzlu, Murat; Sarp, Salih; Catak, Ferhat Özgur; Cali, Umit; Zhao, Yanxiao

(2024)

Technology Forecasting: A Secure Solar Power Generation Forecasting Framework for Recurrent Neural Networks.

Wiley-Blackwell.

ISBN 9781119909880.

Catak, Ferhat Özgur; Imran, Md Abdullah Al; Dalveren, Yaser; Yildiz, Beytullah; Kara, Ali

(2024)

Radar Emitter Localization Based on Multipath Exploitation Using Machine Learning.

IEEE Access.

ISSN 2169-3536.

Volum 12.

s.163367-163381.

DOI: 10.1109/ACCESS.2024.3488959

Ozdemir, Gokcen; Ozdemir, Umut; Kuzlu, Murat; Catak, Ferhat Özgur

(2024)

A Benchmark for ML-based Solar Power Generation Forecasting Models.

Mediterranean Conference on Embedded Computing (MECO).

ISSN 2377-5475.

DOI: 10.1109/MECO62516.2024.10577910

Tang, Haolin; Zhao, Yanxiao; Kuzlu, Murat; Luo, Changqing; Catak, Ferhat Özgur; Wang, Wei

(2024)

Automatic Modulation Recognition Using Parallel Feature Extraction Architecture.

Lecture Notes in Computer Science (LNCS).

ISSN 0302-9743.

Volum 14998.

s.216-228.

DOI: 10.1007/978-3-031-71467-2_18

Koksal, Sarp; Catak, Ferhat Özgur; Dalveren, Yaser

(2024)

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

IEEE Access.

ISSN 2169-3536.

Volum 12.

s.172980-172991.

DOI: 10.1109/ACCESS.2024.3501192

Catak, Ferhat Özgur; Kuzlu, Murat

(2024)

Uncertainty quantification in large language models through convex hull analysis.

Discover Artificial Intelligence.

ISSN 2731-0809.

Volum 4.

Hefte 1.

DOI: 10.1007/s44163-024-00200-w

Seo, Jungwon; Catak, Ferhat Özgur; Chunming, Rong

(2024)

Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study.

NIKT: Norsk IKT-konferanse for forskning og utdanning.

ISSN 1892-0713.

Catak, Ferhat Özgur; Kuzlu, Murat; Sarp, Salih; Evren, Catak; Cali, Umit

(2023)

Mitigating Attacks on Artificial Intelligence-based Spectrum Sensing for Cellular Network Signals.

IEEE Global Communications Conference (GLOBECOM).

ISSN 2334-0983.

DOI: 10.1109/GCWkshps56602.2022.10008604

Kuzlu, Murat; Catak, Ferhat Özgur; Sarp, Salih; Cali, Umit; Gueler, Oezguer

(2023)

A Streamlit-based Artificial Intelligence Trust Platform for Next-generation Wireless Networks. I: 2022 IEEE Future Networks World Forum (FNWF 2022) .

IEEE conference proceedings.

ISBN 9781665462518.

s.94-97.

DOI: 10.1109/FNWF55208.2022.00025

Tuna, Omer Faruk; Catak, Ferhat Özgur; Eskil, Taner

(2023)

TENET: a new hybrid network architecture for adversarial defense.

International Journal of Information Security.

ISSN 1615-5262.

DOI: 10.1007/s10207-023-00675-1

Sarp, Salih; Catak, Ferhat Özgur; Kuzlu, Murat; Cali, Umit; Kusetogullari, Huseyin; Zhao, Yanxiao; Ates, Gungor; Guler, Ozgur

(2023)

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

Heliyon.

ISSN 2405-8440.

Volum 9.

Hefte 4.

DOI: 10.1016/j.heliyon.2023.e15137

Utku, Durdu Hakan; Catak, Ferhat Özgur; Kuzlu, Murat; Sarp, Salih; Jovanovic, Vukica; Cali, Umit; Zohrabi, Nasibeh

(2023)

Digital twin applications for smart and connected cities. I: Digital twin driven intelligent systems and emerging metaverse.

Springer.

ISBN 9789819902514.

s.141-154.

DOI: 10.1007/978-981-99-0252-1_6

Sarp, Salih; Kuzlu, Murat; Zhao, Yanxiao; Catak, Ferhat Özgur; Cali, Umit; Jovanovic, Vukica; Guler, Ozgur

(2023)

Digital twin in chronic wound management. I: Digital twin driven intelligent systems and emerging metaverse.

Springer.

ISBN 9789819902514.

s.233-248.

DOI: 10.1007/978-981-99-0252-1_11

Jovanovic, Vukica; Kuzlu, Murat; Cali, Umit; Utku, Durdu Hakan; Catak, Ferhat Özgur; Sarp, Salih; Zohrabi, Nasibeh

(2023)

Digital twin in industry 4.0 and beyond applications. I: Digital twin driven intelligent systems and emerging metaverse.

Springer.

ISBN 9789819902514.

s.155-174.

DOI: 10.1007/978-981-99-0252-1_7

Regev, Yuval Abraham; Vassdal, Henrik; Halden, Ugur; Catak, Ferhat Özgur; Cali, Umit

(2023)

Hybrid AI-based Anomaly Detection Model using Phasor Measurement Unit Data. I: 2022 IEEE 1st Global Emerging Technology Blockchain Forum: Blockchain & Beyond (iGETblockchain 2022).

IEEE (Institute of Electrical and Electronics Engineers).

ISBN 978-1-6654-5198-7.

DOI: 10.1109/iGETblockchain56591.2022.10087111

Cali, Umit; Catak, Ferhat Özgur; Balogh, Zsolt György; Ugarelli, Rita Maria; Jaatun, Martin Gilje

(2023)

Cyber-physical hardening of the digital water infrastructure. I: 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

Bostanoglu, Murat; Dalveren, Yaser; Catak, Ferhat Özgur; Kara, Ali

(2023)

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

Sensors.

ISSN 1424-8220.

Volum 23.

Hefte 12.

DOI: 10.3390/s23125584

Cali, Umit; Kuzlu, Murat; Elma, Onur; Gucluturk, Osman Gazi; Kilic, Ahmet; Catak, Ferhat Özgur

(2023)

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

Kuzlu, Murat; Xiao, Zhenxin; Sarp, Salih; Catak, Ferhat Özgur; Gurler, Necip; Guler, Ozgur

(2023)

The Rise of Generative Artificial Intelligence in Healthcare.

Mediterranean Conference on Embedded Computing (MECO).

ISSN 2377-5475.

DOI: 10.1109/MECO58584.2023.10155107

Catak, Ferhat Özgur; Cali, Umit; Kuzlu, Murat; Sarp, Salih

(2023)

Uncertainty Aware Deep Learning Model for Secure and Trustworthy Channel Estimation in 5G Networks.

Mediterranean Conference on Embedded Computing (MECO).

ISSN 2377-5475.

DOI: 10.1109/MECO58584.2023.10155011

Sahinbas, Kevser; Catak, Ferhat Özgur

(2023)

Secure multi-party computation-based privacy-preserving data analysis in healthcare IoT systems.

Internet of Things.

ISSN 2199-1073.

s.57-72.

DOI: 10.1007/978-3-031-08637-3_3

Tang, Haolin; Catak, Ferhat Özgur; Kuzlu, Murat; Evren, Catak; Zhao, Yanxiao

(2023)

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

IEEE Access.

ISSN 2169-3536.

Volum 11.

s.76629-76637.

DOI: 10.1109/ACCESS.2023.3296805

Kuzlu, Murat; Catak, Ferhat Özgur; Zhao, Yanxiao; Sarp, Salih; Evren, Catak

(2023)

Security and Privacy Concerns in Next-Generation Networks Using Artificial Intelligence-Based Solutions: A Potential Use Case.

Advanced Sciences and Technologies for Security Applications.

ISSN 1613-5113.

DOI: 10.1007/978-3-031-33631-7_7

Catak, Ferhat Özgur; Catak, Evren; Elezaj, Ogerta

(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 conference proceedings.

ISBN 979-8-3503-4647-3.

Kuzlu, Murat; Tamayo, Brian Emmanuel; Sarp, Salih; Catak, Ferhat Özgur; Cali, Umit; Zhao, Yanxiao

(2023)

Security Concerns of Adversarial Attack for LSTM/BiLSTM Based Solar Power Forecasting.

IEEE Power & Energy Society General Meeting.

ISSN 1944-9925.

DOI: 10.1109/PESGM52003.2023.10252305

Halden, Ugur; Cali, Umit; Catak, Ferhat Özgur; D'Arco, Salvatore; Bilendo, Francisco

(2023)

Anomaly Detection in Power Markets and Systems. I: 2023 IEEE Power & Energy Society General Meeting - PESGM.

IEEE (Institute of Electrical and Electronics Engineers).

ISBN 978-1-6654-6441-3.

DOI: 10.1109/PESGM52003.2023.10252380

Walskaar, Ivar; Tran, Minh Christian; Catak, Ferhat Özgur

(2023)

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

Cryptography.

ISSN 2410-387X.

Volum 7.

Hefte 4.

DOI: 10.3390/cryptography7040048

Kuzlu, Murat; Xiao, Zhenxin; Tabassum, Maliha; Catak, Ferhat Özgur

(2023)

A robust diabetes mellitus prediction system based on federated learning strategies. I: 2023 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS).

IEEE conference proceedings.

ISBN 979-8-3503-3929-1.

DOI: 10.1109/ICCNS58795.2023.10192981

Awan, Maaz Ali; Dalveren, Yaser; Catak, Ferhat Özgur; Kara, Ali

(2023)

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

Electronics (Basel).

ISSN 2079-9292.

Volum 12.

Hefte 24.

DOI: 10.3390/electronics12244914

Sahinbas, Kevser; Catak, Ferhat Özgur; Kuzlu, Murat; Tabassum, Maliha; Sarp, Salih

(2023)

Non-Cryptographic Privacy Preserving Machine Learning Methods: A Review.

Communications in Computer and Information Science (CCIS).

ISSN 1865-0929.

Volum 1983.

s.410-421.

DOI: 10.1007/978-3-031-50920-9_32

Tabassum, Maliha; Kuzlu, Murat; Catak, Ferhat Özgur; Sarp, Salih; Sahinbas, Kevser

(2023)

Secure Future Healthcare Applications Through Federated Learning Approaches.

Communications in Computer and Information Science (CCIS).

ISSN 1865-0929.

Volum 1983.

s.214-225.

DOI: 10.1007/978-3-031-50920-9_17

Mohamed, Ismail; Dalveren, Yaser; Catak, Ferhat Özgur; Kara, Ali

(2022)

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

Electronics (Basel).

ISSN 2079-9292.

Volum 11.

Hefte 2.

DOI: 10.3390/electronics11020269

Catak, Ferhat Özgur; Kuzlu, Murat; Catak, Evren; Cali, Umit; Unal, Devrim

(2022)

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

Physical Communication.

ISSN 1874-4907.

Volum 52.

DOI: 10.1016/j.phycom.2022.101626

Tuna, Omer Faruk; Catak, Ferhat Özgur; Eskil, Taner

(2022)

Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples.

Multimedia Tools and Applications.

ISSN 1380-7501.

DOI: 10.1007/s11042-022-12132-7

Catak, Ferhat Özgur; Yue, Tao; Ali, Shaukat

(2022)

Uncertainty-aware Prediction Validator in Deep Learning Models for Cyber-physical System Data.

ACM Transactions on Software Engineering and Methodology.

ISSN 1049-331X.

Volum 31.

Hefte 4.

DOI: 10.1145/3527451

Tuna, Omer Faruk; Catak, Ferhat Özgur; Eskil, Taner

(2022)

Uncertainty as a Swiss army knife: new adversarial attack and defense ideas based on epistemic uncertainty.

Complex & Intelligent Systems.

ISSN 2199-4536.

s.1-19.

DOI: 10.1007/s40747-022-00701-0

Tuna, Omer Faruk; Catak, Ferhat Özgur; Eskil, Taner

(2022)

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

Computers and Electrical Engineering.

ISSN 0045-7906.

Volum 101.

DOI: 10.1016/j.compeleceng.2022.107986

Wibawa, Febrianti; Catak, Ferhat Özgur; Sarp, Salih; Kuzlu, Murat

(2022)

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

Cryptography.

ISSN 2410-387X.

Volum 6.

Hefte 3.

DOI: 10.3390/cryptography6030034

Unal, Devrim; Bennbaia, Shada; Catak, Ferhat Özgur

(2022)

Machine learning for the security of healthcare systems based on internet of things and edge computing. I: Cybersecurity and cognitive science.

Elsevier.

ISBN 9780323905701.

s.299-320.

DOI: 10.1016/B978-0-323-90570-1.00007-3

Kuzlu, Murat; Sarp, Salih; Catak, Ferhat Özgur; Cali, Umit; Zhao, Yanxiao; Elma, Onur; Guler, Ozgur

(2022)

Analysis of deceptive data attacks with adversarial machine learning for solar photovoltaic power generation forecasting.

Electrical engineering (Berlin. Print).

ISSN 0948-7921.

DOI: 10.1007/s00202-022-01601-9

Catak, Ferhat Özgur; Kuzlu, Murat; Catak, Evren; Cali, Umit; Guler, Ozgur

(2022)

Defensive Distillation-Based Adversarial Attack Mitigation Method for Channel Estimation Using Deep Learning Models in Next-Generation Wireless Networks.

IEEE Access.

ISSN 2169-3536.

Volum 10.

s.98191-98203.

DOI: 10.1109/ACCESS.2022.3206385

Catak, Ferhat Özgur; Kuzlu, Murat; Tang, Haolin; Evren, Catak; Zhao, Yanxiao

(2022)

Security Hardening of Intelligent Reflecting Surfaces Against Adversarial Machine Learning Attacks.

IEEE Access.

ISSN 2169-3536.

Volum 10.

s.100267-100275.

DOI: 10.1109/ACCESS.2022.3206012

Unal, Devrim; Catak, Ferhat Özgur; Houkan, Mohammad Talal; Mudassir, Mohammed; Hammoudeh, Mohammad

(2022)

Towards robust autonomous driving systems through adversarial test set generation.

ISA transactions.

ISSN 0019-0578.

DOI: 10.1016/j.isatra.2022.11.007

Kuzlu, Murat; Catak, Ferhat Özgur; Cali, Umit; Evren, Catak; Guler, Ozgur

(2022)

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

International Journal of Information Security.

ISSN 1615-5262.

DOI: 10.1007/s10207-022-00644-0

Sahinbas, Kevser; Catak, Ferhat Özgur

(2022)

Customer Segmentation in the Retail Sector: A Data Analytics Approach. I: 2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC).

IEEE conference proceedings.

ISBN 978-1-6654-6169-6.

s.174-178.

DOI: 10.1109/IHMSC55436.2022.00048

Tuna, Omer Faruk; Catak, Ferhat Özgur; Eskil, Taner

(2022)

Unreasonable Effectiveness of Last Hidden Layer Activations for Adversarial Robustness. I: 2022 IEEE 46th Annual Computers, Software, and Applications Conference.

IEEE conference proceedings.

ISBN 978-1-6654-88105.

DOI: 10.1109/COMPSAC54236.2022.00172

Wibawa, Febrianti; Catak, Ferhat Özgur; Kuzlu, Murat; Sarp, Salih; Cali, Umit

(2022)

Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case. I: EICC '22: Proceedings of the 2022 European Interdisciplinary Cybersecurity Conference.

Association for Computing Machinery (ACM).

ISBN 978-1-4503-9603-5.

DOI: 10.1145/3528580.3532845

Catak, Ferhat Özgur; Yildirim Yayilgan, Sule

(2021)

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

Communications in Computer and Information Science (CCIS).

ISSN 1865-0929.

Volum 1382.

s.280-291.

DOI: 10.1007/978-3-030-71711-7_23

Unal, Devrim; Catak, Ferhat Özgur

(2021)

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

Future Generation Computer Systems.

ISSN 0167-739X.

DOI: 10.1016/j.future.2021.06.050

Catak, Ferhat Özgur; Aydin, Ismail; Elezaj, Ogerta; Yildirim Yayilgan, Sule

(2020)

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

Electronics (Basel).

ISSN 2079-9292.

Volum 9.

Hefte 2.

s.1-20.

DOI: 10.3390/electronics9020229

Mustacoglu, Ahmet Fatih; Catak, Ferhat Özgur; Fox, Geoffrey C.

(2020)

Password‐based encryption approach for securing sensitive data.

Security and Privacy.

ISSN 2475-6725.

s.1-12.

DOI: 10.1002/spy2.121

Catak, Ferhat Özgur; Yazi, Ahmet Faruk; Elezaj, Ogerta; Ahmed, Javed

(2020)

Deep learning based Sequential model for malware analysis using Windows exe API Calls.

PeerJ Computer Science.

ISSN 2376-5992.

Volum 6.

s.1-23.

DOI: 10.7717/peerj-cs.285

Catak, Ferhat Özgur; Mustacoglu, Ahmet Fatih

(2019)

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

Journal of Intelligent & Fuzzy Systems.

ISSN 1064-1246.

Volum 37.

Hefte 3.

s.3969-3979.

DOI: 10.3233/JIFS-190159

Yilmaz, Murat; Catak, Ferhat Özgur; Gul, Ensar

(2019)

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

Computer Science.

ISSN 1508-2806.

Volum 20.

Hefte 2.

s.213-243.

DOI: 10.7494/csci.2019.20.2.3191

Seyyar, Merve Bas; Catak, Ferhat Özgur; Gul, Ensar

(2018)

Detection of Attack-Targeted Scans from The Apache HTTP Server Access Logs.

Applied Computing and Informatics.

ISSN 2210-8327.

Volum 14.

Hefte 1.

s.28-36.

DOI: 10.1016/j.aci.2017.04.002

Catak, Ferhat Özgur

(2018)

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

Journal of the National Science Foundation of Sri Lanka.

ISSN 2362-0161.

Volum 46.

Hefte 4.

s.601-612.

DOI: 10.4038/jnsfsr.v46i4.8560

Catak, Ferhat Özgur; Mustacoglu, Ahmet Fatih

(2018)

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

International Journal of Computational Intelligence Systems.

ISSN 1875-6891.

Volum 11.

Hefte 1.

s.33-44.

DOI: 10.2991/ijcis.11.1.3

Catak, Ferhat Özgur

(2017)

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

Soft Computing - A Fusion of Foundations, Methodologies and Applications.

ISSN 1432-7643.

Volum 21.

Hefte 9.

s.2269-2281.

DOI: 10.1007/s00500-015-1938-4

Catak, Ferhat Özgur; Balaban, Mehmet Erdal

(2016)

A MapReduce-based distributed SVM algorithm for binary classification.

Turkish Journal of Electrical Engineering and Computer Sciences.

ISSN 1300-0632.

Volum 24.

s. 863-873.

DOI: 10.3906/elk-1302-68

Catak, Ferhat Özgur

(2015)

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

Lecture Notes in Computer Science (LNCS).

ISSN 0302-9743.

Volum 9490.

s. 337-345.

DOI: 10.1007/978-3-319-26535-3_39

Catak, Ferhat Özgur

(2015)

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

Lecture Notes in Computer Science (LNCS).

ISSN 0302-9743.

Volum 9490.

s.10-17.

DOI: 10.1007/978-3-319-26535-3_2

Catak, Ferhat Özgur

(2013)

CloudSVM : Training an SVM Classifier in Cloud Computing Systems.

Lecture Notes in Computer Science (LNCS).

ISSN 0302-9743.

s.57-68.

DOI: 10.1007/978-3-642-37015-1_6

Bøker og kapitler

Catak, Ferhat Özgur

(2024)

2023 IEEE Virtual Conference on Communications (VCC).

IEEE conference proceedings.

ISBN 979-8-3503-1880-7.

Catak, Ferhat Özgur; Yazi, Ahmet Faruk; Gul, Ensar

(2019)

Classification of Methamorphic Malware with Deep Learning (LSTM).

IEEE (Institute of Electrical and Electronics Engineers).

ISBN 978-1-7281-1904-5.

Catak, Ferhat Özgur; Sivaslioglu, Samed; Gul, Ensar

(2019)

Incrementing Adversarial Robustness with Autoencoding for Machine Learning Model Attacks.

IEEE (Institute of Electrical and Electronics Engineers).

ISBN 978-1-7281-1904-5.

Aladag, Merve; Catak, Ferhat Özgur; Gul, Ensar

(2019)

Preventing Data Poisoning Attacks By Using Generative Models .

IEEE (Institute of Electrical and Electronics Engineers).

ISBN 978-1-7281-3993-7.

Catak, Ferhat Özgur

(2015)

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

IEEE (Institute of Electrical and Electronics Engineers).

ISBN 978-1-4673-7386-9.

Formidling

Evren, Catak; Catak, Ferhat Özgur; Moldsvor, Arild

(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.

Catak, Ferhat Özgur; Yue, Tao; Ali, Shaukat

(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, Ferhat Özgur; Yildirim Yayilgan, Sule; Abomhara, Mohamed

(2020)

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

preprints.org > mathematics & computer science > information technology & data management.

DOI: 10.20944/preprints202007.0658.v1