Publications
Ferhat Ozgur Catak.
Malicious URL Detection Using Machine Learning.
Artificial Intelligence Paradigms for Smart Cyber-Physical Systems, 2020.
Ferhat Ozgur Catak.
Transfer Learning Based Convolutional Neural Network For COVID-19 Detection With X-Ray Images.
Elsevier Data Science for COVID-19, 2020.
Ferhat Ozgur Catak.
Practical Implementation of Privacy Preserving Clustering Methods Using a Partially Homomorphic Encryption Algorithm.
MDPI Electronics, 2020.
Ferhat Ozgur Catak.
Preventing Data Poisoning Attacks By Using Generative Models.
2019 1st International Informatics and Software Engineering Conference (UBMYK), 2019.
Ferhat Ozgur Catak.
Distributed denial of service attack detection using autoencoder and deep neural networks.
Journal of Intelligent & Fuzzy Systems, 2019.
Ferhat Ozgur Catak.
Sensor Based Cyber Attack Detections in Critical Infrastructures Using Deep Learning Algorithms.
Computer Science, 2019.
Ferhat Ozgur Catak.
A Benchmark API Call Dataset for Windows PE Malware Classification.
ArXiv, 2019.
FO Catak.
Classification of Methamorphic Malware with Deep Learning (LSTM).
27th IEEE Signal Processing and Applications Conference, 2019.
FO Catak.
Incrementing Adversarial Robustness with Autoencoding for Machine Learning Model Attacks.
27th IEEE Signal Processing and Applications Conference, 2019.
FO Catak.
Two-Layer Malicious Network Flow Detection System with Sparse Linear Model Based Feature Selection.
Journal of the National Science Foundation of Sri Lanka, 2018.
Ferhat Ozgur Catak.
A MapReduce-based distributed SVM algorithm for binary classification.
Turkish Journal of Electrical Engineering and Computer Science, 2016.
Ferhat Ozgur Catak.
Robust Ensemble Classifier Combination Based on Noise Removal with One-Class SVM.
Springer Lecture Notes in Computer Science, 2015.
Ferhat Ozgur Catak.
Secure Multi-party Computation Based Privacy Preserving Extreme Learning Machine Algorithm Over Vertically Distributed Data.
Springer Lecture Notes in Computer Science, 2015.
Ferhat Ozgur Catak.
CloudSVM: Training an SVM Classifier in Cloud Computing Systems.
Springer - Lecture Notes in Computer Science, 2013.