CloudSVM: Training an SVM Classifier in Cloud Computing Systems. - Ferhat Özgür Çatak; M. Erdal Balaban (ICPCA/SWS, 2012)

A MapReduce based distributed SVM algorithm for binary classification. - Ferhat Özgür Çatak; Mehmet Erdal Balaban (CoRR, 2013)

Polarization Measurement of High Dimensional Social Media Messages With Support Vector Machine Algorithm Using Mapreduce. - Ferhat Özgür Çatak (CoRR, 2014)

Bulut bilişim sistemlerinde eşle/indirge yöntemi uygulanarak veri madenciliği yazılım çatısının geliştirilmesi (Development of data mining software framework by using map/reduce method in cloud computing systems) - Ferhat Özgür Çatak (2014)

Robust Ensemble Classifier Combination Based on Noise Removal with One-Class SVM. - Ferhat Özgür Çatak (ICONIP (2), 2015)

Secure Multi-party Computation Based Privacy Preserving Extreme Learning Machine Algorithm Over Vertically Distributed Data. - Ferhat Özgür Çatak (ICONIP (2), 2015)

Classification with Extreme Learning Machine and ensemble algorithms over randomly partitioned data. - Ferhat Özgür Çatak (SIU, 2015)

Privacy preserving extreme learning machine classification model for distributed systems. - Ferhat Özgür Çatak; Ahmet Fatih Mustacoglu; Ahmet Ercan Topcu (SIU, 2016)

Privacy Preserving PageRank Algorithm By Using Secure Multi-Party Computation. - Ferhat Özgür Çatak (CoRR, 2016)

Classification with boosting of extreme learning machine over arbitrarily partitioned data. - Ferhat Özgür Çatak (Soft Comput., 2017)

CPP-ELM: Cryptographically Privacy-Preserving Extreme Learning Machine for Cloud Systems. - Ferhat Özgür Çatak; Ahmet Fatih Mustacoglu (Int. J. Comput. Intell. Syst., 2018)

Incrementing Adversarial Robustness with Autoencoding for Machine Learning Model Attacks. - Samed Sivaslioglu; Ferhat Özgür Çatak; Ensar Gül (SIU, 2019)

Classification of Methamorphic Malware with Deep Learning(LSTM). - Ahmet Faruk Yazi; Ferhat Özgür Çatak; Ensar Gül (SIU, 2019)

Sensor Based Cyber Attack Detections in Critical Infrastructures Using Deep Learning Algorithms. - Ferhat Özgür Çatak; Murat Yilmaz; Ensar Gül (Comput. Sci., 2019)

A Benchmark API Call Dataset for Windows PE Malware Classification. - Ferhat Özgür Çatak; Ahmet Faruk Yazi (CoRR, 2019)

Distributed denial of service attack detection using autoencoder and deep neural networks. - Ferhat Özgür Çatak; Ahmet Fatih Mustacoglu (J. Intell. Fuzzy Syst., 2019)

Deep Neural Network Based Malicious Network Activity Detection Under Adversarial Machine Learning Attacks. - Ferhat Özgür Çatak; Sule Yildirim Yayilgan (INTAP, 2020)

Deep learning based Sequential model for malware analysis using Windows exe API Calls. - Ferhat Özgür Çatak; Ahmet Faruk Yazi; Ogerta Elezaj; Javed Ahmed (PeerJ Comput. Sci., 2020)

Password-based encryption approach for securing sensitive data. - Ahmet Fatih Mustacoglu; Ferhat Özgür Çatak; Geoffrey C. Fox (Secur. Priv., 2020)

Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous Driving. - Ferhat Özgür Çatak; Tao Yue 002; Shaukat Ali 001 (AITest, 2021)

Adversarial Machine Learning Security Problems for 6G: mmWave Beam Prediction Use-Case. - Evren Çatak; Ferhat Özgür Çatak; Arild Moldsvor (BlackSeaCom, 2021)

Internet of Predictable Things (IoPT) Framework to Increase Cyber-Physical System Resiliency. - Umit Cali; Murat Kuzlu; Vinayak Sharma 001; Manisa Pipattanasomporn; Ferhat Özgür Çatak (CoRR, 2021)

Security Concerns on Machine Learning Solutions for 6G Networks in mmWave Beam Prediction. - Ferhat Özgür Çatak; Evren Çatak; Murat Kuzlu; Umit Cali (CoRR, 2021)

Secure Multi-Party Computation based Privacy Preserving Data Analysis in Healthcare IoT Systems. - Kevser Sahinbas; Ferhat Özgür Çatak (CoRR, 2021)

A secure and efficient Internet of Things cloud encryption scheme with forensics investigation compatibility based on identity-based encryption. - Devrim Unal; Abdulla K. Al-Ali; Ferhat Özgür Çatak; Mohammad Hammoudeh (Future Gener. Comput. Syst., 2021)

A Generative Model based Adversarial Security of Deep Learning and Linear Classifier Models. - Samed Sivaslioglu; Ferhat Özgür Çatak; Kevser Sahinbas (Informatica (Slovenia), 2021)

Data augmentation based malware detection using convolutional neural networks. - Ferhat Özgür Çatak; Javed Ahmed; Kevser Sahinbas; Zahid Hussain Khand (PeerJ Comput. Sci., 2021)

A Streamlit-based Artificial Intelligence Trust Platform for Next-Generation Wireless Networks. - Murat Kuzlu; Ferhat Özgür Çatak; Salih Sarp; Umit Cali; Özgür Güler (FNWF, 2022)

Unreasonable Effectiveness of Last Hidden Layer Activations for Adversarial Robustness. - Ömer Faruk Tuna; Ferhat Özgür Çatak; Mustafa Taner Eskil (COMPSAC, 2022)

Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case. - Febrianti Wibawa; Ferhat Özgür Çatak; Murat Kuzlu; Salih Sarp; Umit Cali (EICC, 2022)

Mitigating Attacks on Artificial Intelligence-based Spectrum Sensing for Cellular Network Signals. - Ferhat Özgür Çatak; Murat Kuzlu; Salih Sarp; Evren Çatak; Umit Cali (GLOBECOM (Workshops), 2022)

Defensive Distillation-Based Adversarial Attack Mitigation Method for Channel Estimation Using Deep Learning Models in Next-Generation Wireless Networks. - Ferhat Özgür Çatak; Murat Kuzlu; Evren Çatak; Umit Cali; Ozgur Guler (IEEE Access, 2022)

Security Hardening of Intelligent Reflecting Surfaces Against Adversarial Machine Learning Attacks. - Ferhat Özgür Çatak; Murat Kuzlu; Haolin Tang; Evren Çatak; Yanxiao Zhao (IEEE Access, 2022)

Closeness and uncertainty aware adversarial examples detection in adversarial machine learning. - Ömer Faruk Tuna; Ferhat Özgür Çatak; Mustafa Taner Eskil (Comput. Electr. Eng., 2022)

Unreasonable Effectiveness of Last Hidden Layer Activations. - Ömer Faruk Tuna; Ferhat Özgür Çatak; Mustafa Taner Eskil (CoRR, 2022)

Defensive Distillation based Adversarial Attacks Mitigation Method for Channel Estimation using Deep Learning Models in Next-Generation Wireless Networks. - Ferhat Özgür Çatak; Murat Kuzlu; Evren Çatak; Umit Cali; Ozgur Guler (CoRR, 2022)

Hybrid AI-based Anomaly Detection Model using Phasor Measurement Unit Data. - Yuval Abraham Regev; Henrik Vassdal; Ugur Halden; Ferhat Özgür Çatak; Umit Cali (CoRR, 2022)

Anomaly Detection in Power Markets and Systems. - Ugur Halden; Umit Cali; Ferhat Özgür Çatak; Salvatore D'Arco; Francisco Bilendo (CoRR, 2022)

BFV-Based Homomorphic Encryption for Privacy-Preserving CNN Models. - Febrianti Wibawa; Ferhat Özgür Çatak; Salih Sarp; Murat Kuzlu (Cryptogr., 2022)

Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples. - Ömer Faruk Tuna; Ferhat Özgür Çatak; Mustafa Taner Eskil (Multim. Tools Appl., 2022)

Security concerns on machine learning solutions for 6G networks in mmWave beam prediction. - Ferhat Özgür Çatak; Murat Kuzlu; Evren Çatak; Umit Cali; Devrim Unal (Phys. Commun., 2022)

Uncertainty-aware Prediction Validator in Deep Learning Models for Cyber-physical System Data. - Ferhat Özgür Çatak; Tao Yue 002; Shaukat Ali 001 (ACM Trans. Softw. Eng. Methodol., 2022)

Malware API Call Dataset. - Ferhat Özgür Çatak (IEEE DataPort, 2022)

5G-SRNG: 5G Spectrogram-based Random Number Generation for Devices with Low Entropy Sources. - Ferhat Özgür Çatak; Evren Çatak; Ogerta Elezaj (COINS, 2023)

Cyber-physical Hardening of the Digital Water Infrastructure. - Umit Cali; Ferhat Özgür Çatak; Zsolt György Balogh; Rita Maria Ugarelli; Martin Gilje Jaatun (EICC, 2023)

Cybersecurity and Digital Privacy Aspects of V2X in the EV Charging Structure. - Umit Cali; Murat Kuzlu; Onur Elma; Osman Gazi Gucluturk; Ahmet Kilic; Ferhat Özgür Çatak (EICC, 2023)

Uncertainty Aware Deep Learning Model for Secure and Trustworthy Channel Estimation in 5G Networks. - Ferhat Özgür Çatak; Umit Cali; Murat Kuzlu; Salih Sarp (MECO, 2023)

The Rise of Generative Artificial Intelligence in Healthcare. - Murat Kuzlu; Zhenxin Xiao; Salih Sarp; Ferhat Özgür Çatak; Necip Gurler; Ozgur Guler (MECO, 2023)

A Cryptographic Federated Learning-Based Channel Estimation for Next-Generation Networks. - Ferhat Özgür Çatak; Murat Kuzlu (VCC, 2023)

Defending AI-Based Automatic Modulation Recognition Models Against Adversarial Attacks. - Haolin Tang; Ferhat Özgür Çatak; Murat Kuzlu; Evren Çatak; Yanxiao Zhao (IEEE Access, 2023)

TENET: a new hybrid network architecture for adversarial defense. - Ömer Faruk Tuna; Ferhat Özgür Çatak; Mustafa Taner Eskil (Int. J. Inf. Sec., 2023)

Modelling and Design of Pre-Equalizers for a Fully Operational Visible Light Communication System. - Murat Bostanoglu; Yaser Dalveren; Ferhat Özgür Çatak; Ali Kara (Sensors, 2023)

Adversarial security mitigations of mmWave beamforming prediction models using defensive distillation and adversarial retraining. - Murat Kuzlu; Ferhat Özgür Çatak; Umit Cali; Evren Çatak; Ozgur Guler (Int. J. Inf. Sec., 2023)

A Practical Implementation of Medical Privacy-Preserving Federated Learning Using Multi-Key Homomorphic Encryption and Flower Framework. - Ivar Walskaar; Minh Christian Tran; Ferhat Özgür Çatak (Cryptogr., 2023)

Emerging Technologies for Privacy Preservation in Energy Systems. - Umit Cali; Sri Nikhil Gupta Gourisetti; David Jonathan Sebastian Cardenas; Ferhat Özgür Çatak; Annabelle Lee; Linda M. Zeger; Taha Selim Ustun; Marthe Fogstad Dynge; Sreedhar Rao; Javier E. Ramirez (EICC, 2024)

A Federated Adversarial Learning Approach for Robust Spectrum Sensing. - Ferhat Özgür Çatak; Murat Kuzlu (MECO, 2024)

A Benchmark for ML-based Solar Power Generation Forecasting Models. - Gokcen Ozdemir; Umut Ozdemir; Murat Kuzlu; Ferhat Özgür Çatak (MECO, 2024)

Neural Networks Meet Elliptic Curve Cryptography: A Novel Approach to Secure Communication. - Mina Cecilie Wøien; Ferhat Özgür Çatak; Murat Kuzlu; Umit Cali (VCC, 2024)

Automatic Modulation Recognition Using Parallel Feature Extraction Architecture. - Haolin Tang; Yanxiao Zhao; Murat Kuzlu; Changqing Luo; Ferhat Özgür Çatak; Wei Wang (WASA (2), 2024)

Radar Emitter Localization Based on Multipath Exploitation Using Machine Learning. - Ferhat Özgür Çatak; Md Abdullah Al Imran; Yaser Dalveren; Beytullah Yildiz; Ali Kara (IEEE Access, 2024)

Flexible and Lightweight Mitigation Framework for Distributed Denial-of-Service Attacks in Container-Based Edge Networks Using Kubernetes. - Sarp Köksal; Ferhat Özgür Çatak; Yaser Dalveren (IEEE Access, 2024)

Improving Medical Diagnostics with Vision-Language Models: Convex Hull-Based Uncertainty Analysis. - Ferhat Özgür Çatak; Murat Kuzlu; Taylor Patrick (CoRR, 2024)

Uncertainty quantification in large language models through convex hull analysis. - Ferhat Özgür Çatak; Murat Kuzlu (Discov. Artif. Intell., 2024)

Trustworthy cyber-physical power systems using AI: dueling algorithms for PMU anomaly detection and cybersecurity. - Umit Cali; Ferhat Özgür Çatak; Ugur Halden (Artif. Intell. Rev., 2024)

Serverless federated learning: Decentralized spectrum sensing in heterogeneous networks. - Ferhat Özgür Çatak; Murat Kuzlu; Yaser Dalveren; Gokcen Ozdemir (Phys. Commun., 2025)

BERT4MIMO: A Foundation Model using BERT Architecture for Massive MIMO Channel State Information Prediction. - Ferhat Özgür Çatak; Murat Kuzlu; Umit Cali (CoRR, 2025)

Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study. - Jungwon Seo; Ferhat Özgür Çatak; Chunming Rong (CoRR, 2025)

GC-Fed: Gradient Centralized Federated Learning with Partial Client Participation. - Jungwon Seo; Ferhat Özgür Çatak; Chunming Rong; Kibeom Hong; Minhoe Kim (CoRR, 2025)

Building Trust in Healthcare with Privacy Techniques: Blockchain in the Cloud. - Ferhat Özgür Çatak; Chunming Rong; Øyvind Meinich-Bache; Sara Brunner; Kjersti Engan (CoRR, 2025)