Deep learning based Sequential model for malware analysis using Windows exe API Calls FO Catak PEERJ Computer Science, 2020 | 125 | 2020 |
Transfer Learning Based Convolutional Neural Network For COVID-19 Detection With X-Ray Images K Sahinbas, FO Catak Elsevier - Data Science for COVID-19, 451-466, 2021 | 94 | 2021 |
A Benchmark API Call Dataset for Windows PE Malware Classification FÖ Catak, AF Yazı arXiv:1905.01999, 2019 | 82* | 2019 |
Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case F Wibawa, FO Catak, S Sarp, M Kuzlu, U Cali European Interdisciplinary Cybersecurity Conference, 2022 | 73 | 2022 |
Data augmentation based malware detection using convolutional neural networks FO Catak, J Ahmed, K Sahinbas, ZH Khand Peerj computer science 7, e346, 2021 | 73 | 2021 |
Detection of Attack-Targeted Scans from The Apache HTTP Server Access Logs MB Seyyar, FÖ Çatak, E Gül Applied Computing and Informatics 14 (1), 28-36, 2017 | 66 | 2017 |
CloudSVM: training an SVM classifier in cloud computing systems FO Catak, ME Balaban Pervasive Computing and the Networked World: Joint International Conference …, 2013 | 59 | 2013 |
Distributed denial of service attack detection using autoencoder and deep neural networks FO Catak, AF Mustacoglu Journal of Intelligent & Fuzzy Systems, 1-11, 2019 | 46 | 2019 |
A secure and efficient Internet of Things cloud encryption scheme with forensics investigation compatibility based on identity-based encryption D Unal, A Al-Ali, FO Catak, M Hammoudeh Future Generation Computer Systems 125, 433-445, 2021 | 42 | 2021 |
Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples OF Tuna, FO Catak, MT Eskil Multimedia Tools and Applications, 2022 | 38 | 2022 |
A MapReduce based distributed SVM algorithm for binary classification FÖ Çatak, ME Balaban Turkish Journal of Electrical Engineering & Computer Sciences, 2013 | 35 | 2013 |
Security concerns on machine learning solutions for 6G networks in mmWave beam prediction FO Catak, M Kuzlu, E Catak, U Cali, D Unal Physical Communication 52, 101626, 2022 | 34 | 2022 |
Practical Implementation of Privacy Preserving Clustering Methods Using a Partially Homomorphic Encryption Algorithm FO Catak, I Aydin, O Elezaj, S Yildirim Yayilgan MDPI Electronics 9 (2), 1-20, 2020 | 34 | 2020 |
CPP-ELM: Cryptographically Privacy-Preserving Extreme Learning Machine for Cloud Systems FO Çatak, MA Fatih International Journal of Computational Intelligence Systems 1 (1), 33 - 44, 2018 | 34 | 2018 |
Fuzzy Analytic Hierarchy Based DBMS Selection In Turkish National Identity Card Management Project FO Catak, S Karabas, S Yildirim International Journal of Information Sciences and Techniques (IJIST) 2 (4), 29, 2012 | 33 | 2012 |
Malicious url detection using machine learning FO Catak, K Sahinbas, V Dörtkardeş Artificial intelligence paradigms for smart cyber-physical systems, 160-180, 2021 | 30 | 2021 |
Classification with boosting of extreme learning machine over arbitrarily partitioned data FÖ Çatak Soft Computing 21 (9), 2269-2281, 2017 | 29 | 2017 |
Classification of Methamorphic Malware with Deep Learning (LSTM) AF Yazı, FÖ Çatak, E Gül IEEE (SIU) Signal Processing and Applications Conference, 2019 | 26 | 2019 |
Adversarial Machine Learning Security Problems for 6G: mmWave Beam Prediction Use-Case E Catak, FO Catak, A Moldsvor IEEE BlackSeaCom, 2021 | 24 | 2021 |
Preventing Data Poisoning Attacks By Using Generative Models M Aladag, FO Catak, E Gul 2019 1st International Informatics and Software Engineering Conference (UBMYK), 2019 | 24 | 2019 |