Ferhat Özgür Çatak

95 papers B 1Journal 69Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EvalQReason: A Framework for Step-Level Reasoning Evaluation in Large Language Models. CoRR Shaima Ahmad Freja, Ferhat Özgür Çatak, Betül Yürdem, Chunming Rong
2026	J	`jnl`	Federated Inference: Toward Privacy-Preserving Collaborative and Incentivized Model Serving. CoRR Jungwon Seo, Ferhat Özgür Çatak, Chunming Rong, Jaeyeon Jang
2026	J	`jnl`	GC-Fed: Gradient centralized federated learning with partial client participation. Inf. Fusion Jungwon Seo, Ferhat Özgür Çatak, Chunming Rong, Kibeom Hong, Minhoe Kim
2026	J	`jnl`	Logit-Level Uncertainty Quantification in Vision-Language Models for Histopathology Image Analysis. CoRR Betül Yürdem, Ferhat Özgür Çatak, Murat Kuzlu, Mehmet Kemal Gullu
2026	J	`jnl`	Quantum Key Distribution Secured Federated Learning for Channel Estimation and Radar Spectrum Sensing in 6G Networks. CoRR Ferhat Özgür Çatak, Murat Kuzlu, Jungwon Seo, Umit Cali
2025	J	`jnl`	BERT4MIMO: A Foundation Model using BERT Architecture for Massive MIMO Channel State Information Prediction. CoRR Ferhat Özgür Çatak, Murat Kuzlu, Umit Cali
2025	J	`jnl`	Building Trust in Healthcare with Privacy Techniques: Blockchain in the Cloud. CoRR Ferhat Özgür Çatak, Chunming Rong, Øyvind Meinich-Bache, Sara Brunner, Kjersti Engan
2025	J	`jnl`	GC-Fed: Gradient Centralized Federated Learning with Partial Client Participation. CoRR Jungwon Seo, Ferhat Özgür Çatak, Chunming Rong, Kibeom Hong, Minhoe Kim
2025	J	`jnl`	Secure federated learning via neural cryptography with homomorphic operations. Discov. Artif. Intell. Espen Sele, Ferhat Özgür Çatak, Jungwon Seo, Murat Kuzlu
2025	J	`jnl`	Serverless federated learning: Decentralized spectrum sensing in heterogeneous networks. Phys. Commun. Ferhat Özgür Çatak, Murat Kuzlu, Yaser Dalveren, Gokcen Ozdemir
2025	J	`jnl`	Trustworthy Quantum Machine Learning: A Roadmap for Reliability, Robustness, and Security in the NISQ Era. CoRR Ferhat Özgür Çatak, Jungwon Seo, Umit Cali
2025	J	`jnl`	Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study. CoRR Jungwon Seo, Ferhat Özgür Çatak, Chunming Rong
2024	—	`conf`	A Benchmark for ML-based Solar Power Generation Forecasting Models. MECO Gokcen Ozdemir, Umut Ozdemir, Murat Kuzlu, Ferhat Özgür Çatak
2024	—	`conf`	A Federated Adversarial Learning Approach for Robust Spectrum Sensing. MECO Ferhat Özgür Çatak, Murat Kuzlu
2024	—	`conf`	Automatic Modulation Recognition Using Parallel Feature Extraction Architecture. WASA (2) Haolin Tang, Yanxiao Zhao, Murat Kuzlu, Changqing Luo, Ferhat Özgür Çatak, Wei Wang
2024	—	`conf`	Emerging Technologies for Privacy Preservation in Energy Systems. EICC 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
2024	J	`jnl`	Flexible and Lightweight Mitigation Framework for Distributed Denial-of-Service Attacks in Container-Based Edge Networks Using Kubernetes. IEEE Access Sarp Köksal, Ferhat Özgür Çatak, Yaser Dalveren
2024	J	`jnl`	Improving Medical Diagnostics with Vision-Language Models: Convex Hull-Based Uncertainty Analysis. CoRR Ferhat Özgür Çatak, Murat Kuzlu, Taylor Patrick
2024	—	`conf`	Neural Networks Meet Elliptic Curve Cryptography: A Novel Approach to Secure Communication. VCC Mina Cecilie Wøien, Ferhat Özgür Çatak, Murat Kuzlu, Umit Cali
2024	J	`jnl`	Neural Networks Meet Elliptic Curve Cryptography: A Novel Approach to Secure Communication. CoRR Mina Cecilie Wøien, Ferhat Özgür Çatak, Murat Kuzlu, Umit Cali
2024	J	`jnl`	Radar Emitter Localization Based on Multipath Exploitation Using Machine Learning. IEEE Access Ferhat Özgür Çatak, Md Abdullah Al Imran, Yaser Dalveren, Beytullah Yildiz, Ali Kara
2024	J	`jnl`	Trustworthy cyber-physical power systems using AI: dueling algorithms for PMU anomaly detection and cybersecurity. Artif. Intell. Rev. Umit Cali, Ferhat Özgür Çatak, Ugur Halden
2024	J	`jnl`	Uncertainty Quantification in Large Language Models Through Convex Hull Analysis. CoRR Ferhat Özgür Çatak, Murat Kuzlu
2024	J	`jnl`	Uncertainty quantification in large language models through convex hull analysis. Discov. Artif. Intell. Ferhat Özgür Çatak, Murat Kuzlu
2023	—	`conf`	5G-SRNG: 5G Spectrogram-based Random Number Generation for Devices with Low Entropy Sources. COINS Ferhat Özgür Çatak, Evren Çatak, Ogerta Elezaj
2023	J	`jnl`	5G-SRNG: 5G Spectrogram-based Random Number Generation for Devices with Low Entropy Sources. CoRR Ferhat Özgür Çatak, Evren Çatak, Ogerta Elezaj
2023	—	`conf`	A Cryptographic Federated Learning-Based Channel Estimation for Next-Generation Networks. VCC Ferhat Özgür Çatak, Murat Kuzlu
2023	J	`jnl`	A Practical Implementation of Medical Privacy-Preserving Federated Learning Using Multi-Key Homomorphic Encryption and Flower Framework. Cryptogr. Ivar Walskaar, Minh Christian Tran, Ferhat Özgür Çatak
2023	J	`jnl`	Adversarial security mitigations of mmWave beamforming prediction models using defensive distillation and adversarial retraining. Int. J. Inf. Sec. Murat Kuzlu, Ferhat Özgür Çatak, Umit Cali, Evren Çatak, Ozgur Guler
2023	—	`conf`	Cyber-physical Hardening of the Digital Water Infrastructure. EICC Umit Cali, Ferhat Özgür Çatak, Zsolt György Balogh, Rita Maria Ugarelli, Martin Gilje Jaatun
2023	—	`conf`	Cybersecurity and Digital Privacy Aspects of V2X in the EV Charging Structure. EICC Umit Cali, Murat Kuzlu, Onur Elma, Osman Gazi Gucluturk, Ahmet Kilic, Ferhat Özgür Çatak
2023	J	`jnl`	Defending AI-Based Automatic Modulation Recognition Models Against Adversarial Attacks. IEEE Access Haolin Tang, Ferhat Özgür Çatak, Murat Kuzlu, Evren Çatak, Yanxiao Zhao
2023	J	`jnl`	Modelling and Design of Pre-Equalizers for a Fully Operational Visible Light Communication System. Sensors Murat Bostanoglu, Yaser Dalveren, Ferhat Özgür Çatak, Ali Kara
2023	J	`jnl`	TENET: a new hybrid network architecture for adversarial defense. Int. J. Inf. Sec. Ömer Faruk Tuna, Ferhat Özgür Çatak, Mustafa Taner Eskil
2023	—	`conf`	The Rise of Generative Artificial Intelligence in Healthcare. MECO Murat Kuzlu, Zhenxin Xiao, Salih Sarp, Ferhat Özgür Çatak, Necip Gurler, Ozgur Guler
2023	—	`conf`	Uncertainty Aware Deep Learning Model for Secure and Trustworthy Channel Estimation in 5G Networks. MECO Ferhat Özgür Çatak, Umit Cali, Murat Kuzlu, Salih Sarp
2023	J	`jnl`	Uncertainty Aware Deep Learning Model for Secure and Trustworthy Channel Estimation in 5G Networks. CoRR Ferhat Özgür Çatak, Umit Cali, Murat Kuzlu, Salih Sarp
2023	J	`jnl`	Uncertainty as a Swiss army knife: new adversarial attack and defense ideas based on epistemic uncertainty. Complex Intell. Syst. Ömer Faruk Tuna, Ferhat Özgür Çatak, Mustafa Taner Eskil
2022	—	`conf`	A Streamlit-based Artificial Intelligence Trust Platform for Next-Generation Wireless Networks. FNWF Murat Kuzlu, Ferhat Özgür Çatak, Salih Sarp, Umit Cali, Özgür Güler
2022	J	`jnl`	A Streamlit-based Artificial Intelligence Trust Platform for Next-Generation Wireless Networks. CoRR Murat Kuzlu, Ferhat Özgür Çatak, Salih Sarp, Umit Cali, Özgür Güler
2022	J	`jnl`	Anomaly Detection in Power Markets and Systems. CoRR Ugur Halden, Umit Cali, Ferhat Özgür Çatak, Salvatore D'Arco, Francisco Bilendo
2022	J	`jnl`	BFV-Based Homomorphic Encryption for Privacy-Preserving CNN Models. Cryptogr. Febrianti Wibawa, Ferhat Özgür Çatak, Salih Sarp, Murat Kuzlu
2022	J	`jnl`	Closeness and uncertainty aware adversarial examples detection in adversarial machine learning. Comput. Electr. Eng. Ömer Faruk Tuna, Ferhat Özgür Çatak, Mustafa Taner Eskil
2022	J	`jnl`	Defensive Distillation based Adversarial Attacks Mitigation Method for Channel Estimation using Deep Learning Models in Next-Generation Wireless Networks. CoRR Ferhat Özgür Çatak, Murat Kuzlu, Evren Çatak, Umit Cali, Ozgur Guler
2022	J	`jnl`	Defensive Distillation-Based Adversarial Attack Mitigation Method for Channel Estimation Using Deep Learning Models in Next-Generation Wireless Networks. IEEE Access Ferhat Özgür Çatak, Murat Kuzlu, Evren Çatak, Umit Cali, Ozgur Guler
2022	J	`jnl`	Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples. Multim. Tools Appl. Ömer Faruk Tuna, Ferhat Özgür Çatak, Mustafa Taner Eskil
2022	—	`conf`	Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case. EICC Febrianti Wibawa, Ferhat Özgür Çatak, Murat Kuzlu, Salih Sarp, Umit Cali
2022	J	`jnl`	Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case. CoRR Febrianti Wibawa, Ferhat Özgür Çatak, Salih Sarp, Murat Kuzlu, Umit Cali
2022	J	`jnl`	Hybrid AI-based Anomaly Detection Model using Phasor Measurement Unit Data. CoRR Yuval Abraham Regev, Henrik Vassdal, Ugur Halden, Ferhat Özgür Çatak, Umit Cali
2022	—	`conf`	Mitigating Attacks on Artificial Intelligence-based Spectrum Sensing for Cellular Network Signals. GLOBECOM (Workshops) Ferhat Özgür Çatak, Murat Kuzlu, Salih Sarp, Evren Çatak, Umit Cali
2022	J	`jnl`	Mitigating Attacks on Artificial Intelligence-based Spectrum Sensing for Cellular Network Signals. CoRR Ferhat Özgür Çatak, Murat Kuzlu, Salih Sarp, Evren Çatak, Umit Cali
2022	J	`jnl`	Security Hardening of Intelligent Reflecting Surfaces Against Adversarial Machine Learning Attacks. IEEE Access Ferhat Özgür Çatak, Murat Kuzlu, Haolin Tang, Evren Çatak, Yanxiao Zhao
2022	J	`jnl`	Security concerns on machine learning solutions for 6G networks in mmWave beam prediction. Phys. Commun. Ferhat Özgür Çatak, Murat Kuzlu, Evren Çatak, Umit Cali, Devrim Unal
2022	J	`jnl`	The Adversarial Security Mitigations of mmWave Beamforming Prediction Models using Defensive Distillation and Adversarial Retraining. CoRR Murat Kuzlu, Ferhat Özgür Çatak, Umit Cali, Evren Çatak, Özgür Güler
2022	J	`jnl`	Uncertainty-aware Prediction Validator in Deep Learning Models for Cyber-physical System Data. ACM Trans. Softw. Eng. Methodol. Ferhat Özgür Çatak, Tao Yue, Shaukat Ali
2022	B	`conf`	Unreasonable Effectiveness of Last Hidden Layer Activations for Adversarial Robustness. COMPSAC Ömer Faruk Tuna, Ferhat Özgür Çatak, Mustafa Taner Eskil
2022	J	`jnl`	Unreasonable Effectiveness of Last Hidden Layer Activations. CoRR Ömer Faruk Tuna, Ferhat Özgür Çatak, Mustafa Taner Eskil
2021	J	`jnl`	A Generative Model based Adversarial Security of Deep Learning and Linear Classifier Models. Informatica (Slovenia) Samed Sivaslioglu, Ferhat Özgür Çatak, Kevser Sahinbas
2021	J	`jnl`	A secure and efficient Internet of Things cloud encryption scheme with forensics investigation compatibility based on identity-based encryption. Future Gener. Comput. Syst. Devrim Unal, Abdulla K. Al-Ali, Ferhat Özgür Çatak, Mohammad Hammoudeh
2021	—	`conf`	Adversarial Machine Learning Security Problems for 6G: mmWave Beam Prediction Use-Case. BlackSeaCom Evren Çatak, Ferhat Özgür Çatak, Arild Moldsvor
2021	J	`jnl`	Adversarial Machine Learning Security Problems for 6G: mmWave Beam Prediction Use-Case. CoRR Evren Çatak, Ferhat Özgür Çatak, Arild Moldsvor
2021	J	`jnl`	Data augmentation based malware detection using convolutional neural networks. PeerJ Comput. Sci. Ferhat Özgür Çatak, Javed Ahmed, Kevser Sahinbas, Zahid Hussain Khand
2021	J	`jnl`	Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples. CoRR Ömer Faruk Tuna, Ferhat Özgür Çatak, Mustafa Taner Eskil
2021	J	`jnl`	Internet of Predictable Things (IoPT) Framework to Increase Cyber-Physical System Resiliency. CoRR Umit Cali, Murat Kuzlu, Vinayak Sharma, Manisa Pipattanasomporn, Ferhat Özgür Çatak
2021	—	`conf`	Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous Driving. AITest Ferhat Özgür Çatak, Tao Yue, Shaukat Ali
2021	J	`jnl`	Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous Driving. CoRR Ferhat Özgür Çatak, Tao Yue, Shaukat Ali
2021	J	`jnl`	Secure Multi-Party Computation based Privacy Preserving Data Analysis in Healthcare IoT Systems. CoRR Kevser Sahinbas, Ferhat Özgür Çatak
2021	J	`jnl`	Security Concerns on Machine Learning Solutions for 6G Networks in mmWave Beam Prediction. CoRR Ferhat Özgür Çatak, Evren Çatak, Murat Kuzlu, Umit Cali
2020	J	`jnl`	A Generative Model based Adversarial Security of Deep Learning and Linear Classifier Models. CoRR Ferhat Özgür Çatak, Samed Sivaslioglu, Kevser Sahinbas
2020	J	`jnl`	Closeness and Uncertainty Aware Adversarial Examples Detection in Adversarial Machine Learning. CoRR Ömer Faruk Tuna, Ferhat Özgür Çatak, Mustafa Taner Eskil
2020	J	`jnl`	Data Augmentation Based Malware Detection using Convolutional Neural Networks. CoRR Ferhat Özgür Çatak, Javed Ahmed, Kevser Sahinbas, Zahid Hussain Khand
2020	—	`conf`	Deep Neural Network Based Malicious Network Activity Detection Under Adversarial Machine Learning Attacks. INTAP Ferhat Özgür Çatak, Sule Yildirim Yayilgan
2020	J	`jnl`	Deep learning based Sequential model for malware analysis using Windows exe API Calls. PeerJ Comput. Sci. Ferhat Özgür Çatak, Ahmet Faruk Yazi, Ogerta Elezaj, Javed Ahmed
2020	J	`jnl`	Password-based encryption approach for securing sensitive data. Secur. Priv. Ahmet Fatih Mustacoglu, Ferhat Özgür Çatak, Geoffrey C. Fox
2019	J	`jnl`	A Benchmark API Call Dataset for Windows PE Malware Classification. CoRR Ferhat Özgür Çatak, Ahmet Faruk Yazi
2019	—	`conf`	Classification of Methamorphic Malware with Deep Learning(LSTM). SIU Ahmet Faruk Yazi, Ferhat Özgür Çatak, Ensar Gül
2019	J	`jnl`	Distributed denial of service attack detection using autoencoder and deep neural networks. J. Intell. Fuzzy Syst. Ferhat Özgür Çatak, Ahmet Fatih Mustacoglu
2019	—	`conf`	Incrementing Adversarial Robustness with Autoencoding for Machine Learning Model Attacks. SIU Samed Sivaslioglu, Ferhat Özgür Çatak, Ensar Gül
2019	J	`jnl`	Sensor Based Cyber Attack Detections in Critical Infrastructures Using Deep Learning Algorithms. Comput. Sci. Ferhat Özgür Çatak, Murat Yilmaz, Ensar Gül
2018	J	`jnl`	CPP-ELM: Cryptographically Privacy-Preserving Extreme Learning Machine for Cloud Systems. Int. J. Comput. Intell. Syst. Ferhat Özgür Çatak, Ahmet Fatih Mustacoglu
2017	J	`jnl`	Classification with boosting of extreme learning machine over arbitrarily partitioned data. Soft Comput. Ferhat Özgür Çatak
2016	J	`jnl`	Classification with Boosting of Extreme Learning Machine Over Arbitrarily Partitioned Data. CoRR Ferhat Özgür Çatak
2016	J	`jnl`	Privacy Preserving PageRank Algorithm By Using Secure Multi-Party Computation. CoRR Ferhat Özgür Çatak
2016	—	`conf`	Privacy preserving extreme learning machine classification model for distributed systems. SIU Ferhat Özgür Çatak, Ahmet Fatih Mustacoglu, Ahmet Ercan Topcu
2016	J	`jnl`	Robust Ensemble Classifier Combination Based on Noise Removal with One-Class SVM. CoRR Ferhat Özgür Çatak
2016	J	`jnl`	Secure Multi-Party Computation Based Privacy Preserving Extreme Learning Machine Algorithm Over Vertically Distributed Data. CoRR Ferhat Özgür Çatak
2015	J	`jnl`	Classification with Extreme Learning Machine and Ensemble Algorithms Over Randomly Partitioned Data. CoRR Ferhat Özgür Çatak
2015	—	`conf`	Classification with Extreme Learning Machine and ensemble algorithms over randomly partitioned data. SIU Ferhat Özgür Çatak
2015	—	`conf`	Robust Ensemble Classifier Combination Based on Noise Removal with One-Class SVM. ICONIP (2) Ferhat Özgür Çatak
2015	—	`conf`	Secure Multi-party Computation Based Privacy Preserving Extreme Learning Machine Algorithm Over Vertically Distributed Data. ICONIP (2) Ferhat Özgür Çatak
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	J	`jnl`	Polarization Measurement of High Dimensional Social Media Messages With Support Vector Machine Algorithm Using Mapreduce. CoRR Ferhat Özgür Çatak
2013	J	`jnl`	A MapReduce based distributed SVM algorithm for binary classification. CoRR Ferhat Özgür Çatak, Mehmet Erdal Balaban
2013	J	`jnl`	CloudSVM : Training an SVM Classifier in Cloud Computing Systems CoRR Ferhat Özgür Çatak, M. Erdal Balaban
2012	—	`conf`	CloudSVM: Training an SVM Classifier in Cloud Computing Systems. ICPCA/SWS Ferhat Özgür Çatak, M. Erdal Balaban