Ferhat Özgür Çatak

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 62

Top Topics

Anomaly Detection

Privacy Preserving

Homomorphic Encryption

Top Venues

Publications

Gokcen Ozdemir, Umut Ozdemir, Murat Kuzlu, Ferhat Özgür Çatak
A Benchmark for ML-based Solar Power Generation Forecasting Models. MECO (2024)
Mina Cecilie Wøien, Ferhat Özgür Çatak, Murat Kuzlu, Umit Cali
Neural Networks Meet Elliptic Curve Cryptography: A Novel Approach to Secure Communication. CoRR (2024)
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
Emerging Technologies for Privacy Preservation in Energy Systems. EICC (2024)
Ferhat Özgür Çatak, Murat Kuzlu
A Federated Adversarial Learning Approach for Robust Spectrum Sensing. MECO (2024)
Umit Cali, Ferhat Özgür Çatak, Ugur Halden
Trustworthy cyber-physical power systems using AI: dueling algorithms for PMU anomaly detection and cybersecurity. Artif. Intell. Rev. 57 (7) (2024)
Ferhat Özgür Çatak, Murat Kuzlu
Uncertainty Quantification in Large Language Models Through Convex Hull Analysis. CoRR (2024)
Ferhat Özgür Çatak, Umit Cali, Murat Kuzlu, Salih Sarp
Uncertainty Aware Deep Learning Model for Secure and Trustworthy Channel Estimation in 5G Networks. MECO (2023)
Murat Kuzlu, Ferhat Özgür Çatak, Umit Cali, Evren Çatak, Ozgur Guler
Adversarial security mitigations of mmWave beamforming prediction models using defensive distillation and adversarial retraining. Int. J. Inf. Sec. 22 (2) (2023)
Murat Kuzlu, Zhenxin Xiao, Salih Sarp, Ferhat Özgür Çatak, Necip Gurler, Ozgur Guler
The Rise of Generative Artificial Intelligence in Healthcare. MECO (2023)
Haolin Tang, Ferhat Özgür Çatak, Murat Kuzlu, Evren Çatak, Yanxiao Zhao
Defending AI-Based Automatic Modulation Recognition Models Against Adversarial Attacks. IEEE Access 11 (2023)
Ferhat Özgür Çatak, Umit Cali, Murat Kuzlu, Salih Sarp
Uncertainty Aware Deep Learning Model for Secure and Trustworthy Channel Estimation in 5G Networks. CoRR (2023)
Ferhat Özgür Çatak, Evren Çatak, Ogerta Elezaj
5G-SRNG: 5G Spectrogram-based Random Number Generation for Devices with Low Entropy Sources. COINS (2023)
Ivar Walskaar, Minh Christian Tran, Ferhat Özgür Çatak
A Practical Implementation of Medical Privacy-Preserving Federated Learning Using Multi-Key Homomorphic Encryption and Flower Framework. Cryptogr. 7 (4) (2023)
Ömer Faruk Tuna, Ferhat Özgür Çatak, Mustafa Taner Eskil
TENET: a new hybrid network architecture for adversarial defense. Int. J. Inf. Sec. 22 (4) (2023)
Umit Cali, Murat Kuzlu, Onur Elma, Osman Gazi Gucluturk, Ahmet Kilic, Ferhat Özgür Çatak
Cybersecurity and Digital Privacy Aspects of V2X in the EV Charging Structure. EICC (2023)
Murat Bostanoglu, Yaser Dalveren, Ferhat Özgür Çatak, Ali Kara
Modelling and Design of Pre-Equalizers for a Fully Operational Visible Light Communication System. Sensors 23 (12) (2023)
Ferhat Özgür Çatak, Murat Kuzlu
A Cryptographic Federated Learning-Based Channel Estimation for Next-Generation Networks. VCC (2023)
Yuval Abraham Regev, Henrik Vassdal, Ugur Halden, Ferhat Özgür Çatak, Umit Cali
Hybrid AI-based Anomaly Detection Model using Phasor Measurement Unit Data. CoRR (2022)
Ferhat Özgür Çatak, Murat Kuzlu, Evren Çatak, Umit Cali, Devrim Unal
Security concerns on machine learning solutions for 6G networks in mmWave beam prediction. Phys. Commun. 52 (2022)
Ferhat Özgür Çatak, Tao Yue, Shaukat Ali
Uncertainty-aware Prediction Validator in Deep Learning Models for Cyber-physical System Data. ACM Trans. Softw. Eng. Methodol. 31 (4) (2022)
Ömer Faruk Tuna, Ferhat Özgür Çatak, M. Taner Eskil
Unreasonable Effectiveness of Last Hidden Layer Activations. CoRR (2022)
Febrianti Wibawa, Ferhat Özgür Çatak, Salih Sarp, Murat Kuzlu
BFV-Based Homomorphic Encryption for Privacy-Preserving CNN Models. Cryptogr. 6 (3) (2022)
Ömer Faruk Tuna, Ferhat Özgür Çatak, M. Taner Eskil
Closeness and uncertainty aware adversarial examples detection in adversarial machine learning. Comput. Electr. Eng. 101 (2022)
Febrianti Wibawa, Ferhat Özgür Çatak, Salih Sarp, Murat Kuzlu, Umit Cali
Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case. CoRR (2022)
Ferhat Özgür Çatak, Murat Kuzlu, Salih Sarp, Evren Çatak, Umit Cali
Mitigating Attacks on Artificial Intelligence-based Spectrum Sensing for Cellular Network Signals. CoRR (2022)
Murat Kuzlu, Ferhat Özgür Çatak, Salih Sarp, Umit Cali, Ozgur Gueler
A Streamlit-based Artificial Intelligence Trust Platform for Next-Generation Wireless Networks. CoRR (2022)
Ferhat Özgür Çatak, Murat Kuzlu, Evren Çatak, Umit Cali, Ozgur Guler
Defensive Distillation-Based Adversarial Attack Mitigation Method for Channel Estimation Using Deep Learning Models in Next-Generation Wireless Networks. IEEE Access 10 (2022)
Ferhat Özgür Çatak, Murat Kuzlu, Evren Çatak, Umit Cali, Ozgur Guler
Defensive Distillation based Adversarial Attacks Mitigation Method for Channel Estimation using Deep Learning Models in Next-Generation Wireless Networks. CoRR (2022)
Murat Kuzlu, Ferhat Özgür Çatak, Umit Cali, Evren Çatak, Özgür Güler
The Adversarial Security Mitigations of mmWave Beamforming Prediction Models using Defensive Distillation and Adversarial Retraining. CoRR (2022)
Ferhat Özgür Çatak, Murat Kuzlu, Salih Sarp, Evren Çatak, Umit Cali
Mitigating Attacks on Artificial Intelligence-based Spectrum Sensing for Cellular Network Signals. GLOBECOM (Workshops) (2022)
Ugur Halden, Umit Cali, Ferhat Özgür Çatak, Salvatore D'Arco, Francisco Bilendo
Anomaly Detection in Power Markets and Systems. CoRR (2022)
Ferhat Özgür Çatak, Murat Kuzlu, Haolin Tang, Evren Çatak, Yanxiao Zhao
Security Hardening of Intelligent Reflecting Surfaces Against Adversarial Machine Learning Attacks. IEEE Access 10 (2022)
Febrianti Wibawa, Ferhat Özgür Çatak, Murat Kuzlu, Salih Sarp, Umit Cali
Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case. EICC (2022)
Ömer Faruk Tuna, Ferhat Özgür Çatak, M. Taner Eskil
Unreasonable Effectiveness of Last Hidden Layer Activations for Adversarial Robustness. COMPSAC (2022)
Ömer Faruk Tuna, Ferhat Özgür Çatak, M. Taner Eskil
Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples. Multim. Tools Appl. 81 (8) (2022)
Umit Cali, Murat Kuzlu, Vinayak Sharma, Manisa Pipattanasomporn, Ferhat Özgür Çatak
Internet of Predictable Things (IoPT) Framework to Increase Cyber-Physical System Resiliency. CoRR (2021)
Evren Çatak, Ferhat Özgür Çatak, Arild Moldsvor
Adversarial Machine Learning Security Problems for 6G: mmWave Beam Prediction Use-Case. CoRR (2021)
Devrim Unal, Abdulla K. Al-Ali, Ferhat Özgür Çatak, Mohammad Hammoudeh
A secure and efficient Internet of Things cloud encryption scheme with forensics investigation compatibility based on identity-based encryption. Future Gener. Comput. Syst. 125 (2021)
Ferhat Özgür Çatak, Evren Çatak, Murat Kuzlu, Umit Cali
Security Concerns on Machine Learning Solutions for 6G Networks in mmWave Beam Prediction. CoRR (2021)
Kevser Sahinbas, Ferhat Özgür Çatak
Secure Multi-Party Computation based Privacy Preserving Data Analysis in Healthcare IoT Systems. CoRR (2021)
Ferhat Özgür Çatak, Javed Ahmed, Kevser Sahinbas, Zahid Hussain Khand
Data augmentation based malware detection using convolutional neural networks. PeerJ Comput. Sci. 7 (2021)
Evren Çatak, Ferhat Özgür Çatak, Arild Moldsvor
Adversarial Machine Learning Security Problems for 6G: mmWave Beam Prediction Use-Case. BlackSeaCom (2021)
Ömer Faruk Tuna, Ferhat Özgür Çatak, M. Taner Eskil
Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples. CoRR (2021)
Samed Sivaslioglu, Ferhat Özgür Çatak, Kevser Sahinbas
A Generative Model based Adversarial Security of Deep Learning and Linear Classifier Models. Informatica (Slovenia) 45 (1) (2021)
Ferhat Özgür Çatak, Javed Ahmed, Kevser Sahinbas, Zahid Hussain Khand
Data Augmentation Based Malware Detection using Convolutional Neural Networks. CoRR (2020)
Ferhat Özgür Çatak, Ahmet Faruk Yazi, Ogerta Elezaj, Javed Ahmed
Deep learning based Sequential model for malware analysis using Windows exe API Calls. PeerJ Comput. Sci. 6 (2020)
Ferhat Özgür Çatak, Samed Sivaslioglu, Kevser Sahinbas
A Generative Model based Adversarial Security of Deep Learning and Linear Classifier Models. CoRR (2020)
Ferhat Özgür Çatak, Sule Yildirim Yayilgan
Deep Neural Network Based Malicious Network Activity Detection Under Adversarial Machine Learning Attacks. INTAP (2020)
Ahmet Fatih Mustacoglu, Ferhat Özgür Çatak, Geoffrey C. Fox
Password-based encryption approach for securing sensitive data. Secur. Priv. 3 (5) (2020)
Ömer Faruk Tuna, Ferhat Özgür Çatak, M. Taner Eskil
Closeness and Uncertainty Aware Adversarial Examples Detection in Adversarial Machine Learning. CoRR (2020)
Samed Sivaslioglu, Ferhat Özgür Çatak, Ensar Gül
Incrementing Adversarial Robustness with Autoencoding for Machine Learning Model Attacks. SIU (2019)
Ferhat Özgür Çatak, Ahmet Faruk Yazi
A Benchmark API Call Dataset for Windows PE Malware Classification. CoRR (2019)
Ferhat Özgür Çatak, Ahmet Fatih Mustacoglu
Distributed denial of service attack detection using autoencoder and deep neural networks. J. Intell. Fuzzy Syst. 37 (3) (2019)
Ahmet Faruk Yazi, Ferhat Özgür Çatak, Ensar Gül
Classification of Methamorphic Malware with Deep Learning(LSTM). SIU (2019)
Ferhat Özgür Çatak, Murat Yilmaz, Ensar Gül
Sensor Based Cyber Attack Detections in Critical Infrastructures Using Deep Learning Algorithms. Comput. Sci. 20 (2) (2019)
Ferhat Özgür Çatak, Ahmet Fatih Mustacoglu
CPP-ELM: Cryptographically Privacy-Preserving Extreme Learning Machine for Cloud Systems. Int. J. Comput. Intell. Syst. 11 (1) (2018)
Ferhat Özgür Çatak
Classification with boosting of extreme learning machine over arbitrarily partitioned data. Soft Comput. 21 (9) (2017)
Ferhat Özgür Çatak
Classification with Boosting of Extreme Learning Machine Over Arbitrarily Partitioned Data. CoRR (2016)
Ferhat Özgür Çatak, Ahmet Fatih Mustacoglu, Ahmet Ercan Topcu
Privacy preserving extreme learning machine classification model for distributed systems. SIU (2016)
Ferhat Özgür Çatak
Secure Multi-Party Computation Based Privacy Preserving Extreme Learning Machine Algorithm Over Vertically Distributed Data. CoRR (2016)
Ferhat Özgür Çatak
Robust Ensemble Classifier Combination Based on Noise Removal with One-Class SVM. CoRR (2016)
Ferhat Özgür Çatak
Privacy Preserving PageRank Algorithm By Using Secure Multi-Party Computation. CoRR (2016)
Ferhat Özgür Çatak
Classification with Extreme Learning Machine and ensemble algorithms over randomly partitioned data. SIU (2015)
Ferhat Özgür Çatak
Robust Ensemble Classifier Combination Based on Noise Removal with One-Class SVM. ICONIP (2) (2015)
Ferhat Özgür Çatak
Classification with Extreme Learning Machine and Ensemble Algorithms Over Randomly Partitioned Data. CoRR (2015)
Ferhat Özgür Çatak
Secure Multi-party Computation Based Privacy Preserving Extreme Learning Machine Algorithm Over Vertically Distributed Data. ICONIP (2) (2015)
Ferhat Özgür Çatak
Polarization Measurement of High Dimensional Social Media Messages With Support Vector Machine Algorithm Using Mapreduce. CoRR (2014)
Ferhat Özgür Çatak, Mehmet Erdal Balaban
A MapReduce based distributed SVM algorithm for binary classification. CoRR (2013)
Ferhat Özgür Çatak, M. Erdal Balaban
CloudSVM : Training an SVM Classifier in Cloud Computing Systems CoRR (2013)
Ferhat Özgür Çatak, M. Erdal Balaban
CloudSVM: Training an SVM Classifier in Cloud Computing Systems. ICPCA/SWS (2012)