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ORCIDFerhat Özgür Çatak
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- affiliation: Istanbul University, Turkey
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2020 – today
- 2024
[j25]Ferhat Özgür Çatak
, Md Abdullah Al Imran, Yaser Dalveren, Beytullah Yildiz, Ali Kara:
Radar Emitter Localization Based on Multipath Exploitation Using Machine Learning. IEEE Access 12: 163367-163381 (2024)- [j24]Sarp Köksal, Ferhat Özgür Çatak, Yaser Dalveren:
Flexible and Lightweight Mitigation Framework for Distributed Denial-of-Service Attacks in Container-Based Edge Networks Using Kubernetes. IEEE Access 12: 172980-172991 (2024) - [j23]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): 183 (2024) - [j22]Ferhat Özgür Çatak, Murat Kuzlu:
Uncertainty quantification in large language models through convex hull analysis. Discov. Artif. Intell. 4(1): 90 (2024) - [c24]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: 163-170 - [c23]Ferhat Özgür Çatak, Murat Kuzlu:
A Federated Adversarial Learning Approach for Robust Spectrum Sensing. MECO 2024: 1-4 - [c22]Gokcen Ozdemir, Umut Ozdemir, Murat Kuzlu, Ferhat Özgür Çatak:
A Benchmark for ML-based Solar Power Generation Forecasting Models. MECO 2024: 1-4 - [c21]Haolin Tang, Yanxiao Zhao, Murat Kuzlu, Changqing Luo, Ferhat Özgür Çatak, Wei Wang:
Automatic Modulation Recognition Using Parallel Feature Extraction Architecture. WASA (2) 2024: 216-228 - [i30]Ferhat Özgür Çatak, Murat Kuzlu:
Uncertainty Quantification in Large Language Models Through Convex Hull Analysis. CoRR abs/2406.19712 (2024) - [i29]Mina Cecilie Wøien, Ferhat Özgür Çatak, Murat Kuzlu, Umit Cali:
Neural Networks Meet Elliptic Curve Cryptography: A Novel Approach to Secure Communication. CoRR abs/2407.08831 (2024) - 2023
- [j21]Haolin Tang, Ferhat Özgür Çatak, Murat Kuzlu, Evren Çatak, Yanxiao Zhao:
Defending AI-Based Automatic Modulation Recognition Models Against Adversarial Attacks. IEEE Access 11: 76629-76637 (2023) - [j20]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): 48 (2023) - [j19]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): 319-332 (2023) - [j18]Ömer Faruk Tuna, Ferhat Özgür Çatak, Mustafa Taner Eskil:
TENET: a new hybrid network architecture for adversarial defense. Int. J. Inf. Sec. 22(4): 987-1004 (2023) - [j17]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): 5584 (2023) - [c20]Ferhat Özgür Çatak, Evren Çatak, Ogerta Elezaj:
5G-SRNG: 5G Spectrogram-based Random Number Generation for Devices with Low Entropy Sources. COINS 2023: 1-6 - [c19]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: 174-180 - [c18]Umit Cali, Ferhat Özgür Çatak, Zsolt György Balogh, Rita Maria Ugarelli, Martin Gilje Jaatun:
Cyber-physical Hardening of the Digital Water Infrastructure. EICC 2023: 181-188 - [c17]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: 1-4 - [c16]Murat Kuzlu, Zhenxin Xiao, Salih Sarp, Ferhat Özgür Çatak, Necip Gurler, Ozgur Guler:
The Rise of Generative Artificial Intelligence in Healthcare. MECO 2023: 1-4 - [c15]Ferhat Özgür Çatak, Murat Kuzlu:
A Cryptographic Federated Learning-Based Channel Estimation for Next-Generation Networks. VCC 2023: 92-97 - [i28]Ferhat Özgür Çatak, Evren Çatak, Ogerta Elezaj:
5G-SRNG: 5G Spectrogram-based Random Number Generation for Devices with Low Entropy Sources. CoRR abs/2304.09591 (2023) - [i27]Ferhat Özgür Çatak, Umit Cali, Murat Kuzlu, Salih Sarp:
Uncertainty Aware Deep Learning Model for Secure and Trustworthy Channel Estimation in 5G Networks. CoRR abs/2305.02741 (2023) - 2022
- [j16]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: 98191-98203 (2022) - [j15]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: 100267-100275 (2022) - [j14]Ömer Faruk Tuna, Ferhat Özgür Çatak, Mustafa Taner Eskil:
Closeness and uncertainty aware adversarial examples detection in adversarial machine learning. Comput. Electr. Eng. 101: 107986 (2022) - [j13]Febrianti Wibawa, Ferhat Özgür Çatak, Salih Sarp, Murat Kuzlu:
BFV-Based Homomorphic Encryption for Privacy-Preserving CNN Models. Cryptogr. 6(3): 34 (2022) - [j12]Ömer Faruk Tuna, Ferhat Özgür Çatak, Mustafa Taner Eskil:
Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples. Multim. Tools Appl. 81(8): 11479-11500 (2022) - [j11]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: 101626 (2022) - [j10]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): 79:1-79:31 (2022) - [c14]Murat Kuzlu, Ferhat Özgür Çatak, Salih Sarp, Umit Cali, Özgür Güler:
A Streamlit-based Artificial Intelligence Trust Platform for Next-Generation Wireless Networks. FNWF 2022: 94-97 - [c13]Ömer Faruk Tuna, Ferhat Özgür Çatak, Mustafa Taner Eskil:
Unreasonable Effectiveness of Last Hidden Layer Activations for Adversarial Robustness. COMPSAC 2022: 1098-1103 - [c12]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: 85-90 - [c11]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: 1371-1376 - [d1]Ferhat Özgür Çatak:
Malware API Call Dataset. IEEE DataPort, 2022
- [i26]Ömer Faruk Tuna, Ferhat Özgür Çatak, Mustafa Taner Eskil:
Unreasonable Effectiveness of Last Hidden Layer Activations. CoRR abs/2202.07342 (2022) - [i25]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 abs/2202.08185 (2022) - [i24]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 abs/2204.07752 (2022) - [i23]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 abs/2208.10279 (2022) - [i22]Yuval Abraham Regev, Henrik Vassdal, Ugur Halden, Ferhat Özgür Çatak, Umit Cali:
Hybrid AI-based Anomaly Detection Model using Phasor Measurement Unit Data. CoRR abs/2209.12665 (2022) - [i21]Ferhat Özgür Çatak, Murat Kuzlu, Salih Sarp, Evren Çatak, Umit Cali:
Mitigating Attacks on Artificial Intelligence-based Spectrum Sensing for Cellular Network Signals. CoRR abs/2209.13007 (2022) - [i20]Murat Kuzlu, Ferhat Özgür Çatak, Salih Sarp, Umit Cali, Özgür Güler:
A Streamlit-based Artificial Intelligence Trust Platform for Next-Generation Wireless Networks. CoRR abs/2211.12851 (2022) - [i19]Ugur Halden, Umit Cali, Ferhat Özgür Çatak, Salvatore D'Arco, Francisco Bilendo:
Anomaly Detection in Power Markets and Systems. CoRR abs/2212.02182 (2022) - 2021
- [j9]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: 433-445 (2021) - [j8]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) - [j7]Ferhat Özgür Çatak, Javed Ahmed, Kevser Sahinbas, Zahid Hussain Khand:
Data augmentation based malware detection using convolutional neural networks. PeerJ Comput. Sci. 7: e346 (2021) - [c10]Ferhat Özgür Çatak, Tao Yue, Shaukat Ali:
Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous Driving. AITest 2021: 93-100 - [c9]Evren Çatak, Ferhat Özgür Çatak, Arild Moldsvor:
Adversarial Machine Learning Security Problems for 6G: mmWave Beam Prediction Use-Case. BlackSeaCom 2021: 1-6 - [i18]Umit Cali, Murat Kuzlu, Vinayak Sharma, Manisa Pipattanasomporn, Ferhat Özgür Çatak:
Internet of Predictable Things (IoPT) Framework to Increase Cyber-Physical System Resiliency. CoRR abs/2101.07816 (2021) - [i17]Ömer Faruk Tuna, Ferhat Özgür Çatak, Mustafa Taner Eskil:
Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples. CoRR abs/2102.04150 (2021) - [i16]Evren Çatak, Ferhat Özgür Çatak, Arild Moldsvor:
Adversarial Machine Learning Security Problems for 6G: mmWave Beam Prediction Use-Case. CoRR abs/2103.07268 (2021) - [i15]Ferhat Özgür Çatak, Evren Çatak, Murat Kuzlu, Umit Cali:
Security Concerns on Machine Learning Solutions for 6G Networks in mmWave Beam Prediction. CoRR abs/2105.03905 (2021) - [i14]Ferhat Özgür Çatak, Tao Yue, Shaukat Ali:
Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous Driving. CoRR abs/2107.04991 (2021) - [i13]Kevser Sahinbas, Ferhat Özgür Çatak:
Secure Multi-Party Computation based Privacy Preserving Data Analysis in Healthcare IoT Systems. CoRR abs/2109.14334 (2021) - 2020
- [j6]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: e285 (2020) - [j5]Ahmet Fatih Mustacoglu, Ferhat Özgür Çatak, Geoffrey C. Fox:
Password-based encryption approach for securing sensitive data. Secur. Priv. 3(5) (2020) - [c8]Ferhat Özgür Çatak, Sule Yildirim Yayilgan:
Deep Neural Network Based Malicious Network Activity Detection Under Adversarial Machine Learning Attacks. INTAP 2020: 280-291 - [i12]Ferhat Özgür Çatak, Javed Ahmed, Kevser Sahinbas, Zahid Hussain Khand:
Data Augmentation Based Malware Detection using Convolutional Neural Networks. CoRR abs/2010.01862 (2020) - [i11]Ferhat Özgür Çatak, Samed Sivaslioglu, Kevser Sahinbas:
A Generative Model based Adversarial Security of Deep Learning and Linear Classifier Models. CoRR abs/2010.08546 (2020) - [i10]Ömer Faruk Tuna, Ferhat Özgür Çatak, Mustafa Taner Eskil:
Closeness and Uncertainty Aware Adversarial Examples Detection in Adversarial Machine Learning. CoRR abs/2012.06390 (2020)
2010 – 2019
- 2019
- [j4]Ferhat Özgür Çatak, Murat Yilmaz, Ensar Gül:
Sensor Based Cyber Attack Detections in Critical Infrastructures Using Deep Learning Algorithms. Comput. Sci. 20(2) (2019) - [j3]Ferhat Özgür Çatak, Ahmet Fatih Mustacoglu:
Distributed denial of service attack detection using autoencoder and deep neural networks. J. Intell. Fuzzy Syst. 37(3): 3969-3979 (2019) - [c7]Samed Sivaslioglu, Ferhat Özgür Çatak, Ensar Gül:
Incrementing Adversarial Robustness with Autoencoding for Machine Learning Model Attacks. SIU 2019: 1-4 - [c6]Ahmet Faruk Yazi, Ferhat Özgür Çatak, Ensar Gül:
Classification of Methamorphic Malware with Deep Learning(LSTM). SIU 2019: 1-4 - [i9]Ferhat Özgür Çatak, Ahmet Faruk Yazi:
A Benchmark API Call Dataset for Windows PE Malware Classification. CoRR abs/1905.01999 (2019) - 2018
- [j2]Ferhat Özgür Çatak, Ahmet Fatih Mustacoglu:
CPP-ELM: Cryptographically Privacy-Preserving Extreme Learning Machine for Cloud Systems. Int. J. Comput. Intell. Syst. 11(1): 33-44 (2018) - 2017
- [j1]Ferhat Özgür Çatak:
Classification with boosting of extreme learning machine over arbitrarily partitioned data. Soft Comput. 21(9): 2269-2281 (2017) - 2016
- [c5]Ferhat Özgür Çatak, Ahmet Fatih Mustacoglu, Ahmet Ercan Topcu:
Privacy preserving extreme learning machine classification model for distributed systems. SIU 2016: 313-316 - [i8]Ferhat Özgür Çatak:
Classification with Boosting of Extreme Learning Machine Over Arbitrarily Partitioned Data. CoRR abs/1602.02887 (2016) - [i7]Ferhat Özgür Çatak:
Robust Ensemble Classifier Combination Based on Noise Removal with One-Class SVM. CoRR abs/1602.02888 (2016) - [i6]Ferhat Özgür Çatak:
Secure Multi-Party Computation Based Privacy Preserving Extreme Learning Machine Algorithm Over Vertically Distributed Data. CoRR abs/1602.02899 (2016) - [i5]Ferhat Özgür Çatak:
Privacy Preserving PageRank Algorithm By Using Secure Multi-Party Computation. CoRR abs/1611.01907 (2016) - 2015
- [c4]Ferhat Özgür Çatak:
Robust Ensemble Classifier Combination Based on Noise Removal with One-Class SVM. ICONIP (2) 2015: 10-17 - [c3]Ferhat Özgür Çatak:
Secure Multi-party Computation Based Privacy Preserving Extreme Learning Machine Algorithm Over Vertically Distributed Data. ICONIP (2) 2015: 337-345 - [c2]Ferhat Özgür Çatak:
Classification with Extreme Learning Machine and ensemble algorithms over randomly partitioned data. SIU 2015: 228-231 - [i4]Ferhat Özgür Çatak:
Classification with Extreme Learning Machine and Ensemble Algorithms Over Randomly Partitioned Data. CoRR abs/1504.02975 (2015) - 2014
- [b1]Ferhat Özgür Çatak:
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). İstanbul University, Turkey, 2014 - [i3]Ferhat Özgür Çatak:
Polarization Measurement of High Dimensional Social Media Messages With Support Vector Machine Algorithm Using Mapreduce. CoRR abs/1410.2686 (2014) - 2013
- [i2]Ferhat Özgür Çatak, M. Erdal Balaban:
CloudSVM : Training an SVM Classifier in Cloud Computing Systems. CoRR abs/1301.0082 (2013) - [i1]Ferhat Özgür Çatak, Mehmet Erdal Balaban:
A MapReduce based distributed SVM algorithm for binary classification. CoRR abs/1312.4108 (2013) - 2012
- [c1]Ferhat Özgür Çatak, M. Erdal Balaban:
CloudSVM: Training an SVM Classifier in Cloud Computing Systems. ICPCA/SWS 2012: 57-68
Coauthor Index
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last updated on 2024-12-11 20:44 CET by the dblp team
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