About | Ferhat Ozgur Catak

About

Ferhat Ozgur Catak is an Artificial Intelligence & Security Researcher at Simula Research Laboratory.
My complete curriculum vitae is available at this link. For more information about my research, you can also visit my ResearchGate and Google scholar profiles.
I am interested in Data Privacy and Cyber Security for machine learning and deep learning, covering the theoretical, applicative, and computational aspects. My primary research interests lie broadly in deep learning.
Bibliography

Catak, F. O., Ismail Aydin, Ogerta Elezaj, and Sule Yildirim Yayilgan. 2020. “Practical Implementation of Privacy Preserving Clustering Methods Using a Partially Homomorphic Encryption Algorithm.” MDPI Electronics 9 (2): 1–20.

Sivaslıoğlu, S., F. O. Catak, and E. Gül. 2019. “Incrementing Adversarial Robustness with Autoencoding for Machine Learning Model Attacks.” In IEEE (Siu) Signal Processing and Applications Conference.

Yazı, AF., F. O. Catak, and E. Gül. 2019. “Classification of Methamorphic Malware with Deep Learning (Lstm).” In IEEE (Siu) Signal Processing and Applications Conference.

Yilmaz, M., F. O. Catak, and E. Gül. 2019. “Sensor Based Cyber Attack Detections in Critical Infrastructures Using Deep Learning Algorithms.” Computer Science 20 (2).

Aladag, Merve, F. O. Catak, and Ensar Gul. 2019. “Preventing Data Poisoning Attacks by Using Generative Models.” In 2019 1st International Informatics and Software Engineering Conference (Ubmyk).

Catak, F. O. 2019. “Distributed Denial of Service Attack Detection Using Autoencoder and Deep Neural Networks.” Journal of Intelligent & Fuzzy Systems, 1–11.

Catak, F. O., and A. F. Yazı. 2019. “A Benchmark Api Call Dataset for Windows Pe Malware Classification.” arXiv:1905.01999.

Catak, F. O. 2018. “Two-Layer Malicious Network Flow Detection System with Sparse Linear Model Based Feature Selection.” Journal of the National Science Foundation of Sri Lanka 46 (4): 601–12.

Catak, F. O., and Mustacoglu Ahmet Fatih. 2018. “CPP-Elm: Cryptographically Privacy-Preserving Extreme Learning Machine for Cloud Systems.” International Journal of Computational Intelligence Systems 1 (1): 33–44.

Seyyar, Merve Baş, F. O. Catak, and Ensar Gül. 2017. “Detection of Attack-Targeted Scans from the Apache Http Server Access Logs.” Applied Computing and Informatics.

Catak, F. O., and Ahmet Fatih Mustacoglu. 2017. “Derin Öğrenme Teknolojileri Kullanarak Dağıtık Hizmet dışı Bırakma Saldırılarının Tespit Edilmesi.” In The 5th High Performance Computing Conference.

Catak, F. O. 2017a. “Classification with Boosting of Extreme Learning Machine over Arbitrarily Partitioned Data.” Soft Computing 21 (9): 2269–81.

Catak, F. O. 2017b. “Topluluk Yöntemlerine Dayalı Dağıtık Hizmet dışı Bırakma Saldırılarının Algılanması.” Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi.

Catak, F. O. 2016. “Privacy Preserving Pagerank Algorithm by Using Secure Multi-Party Computation.” arXiv Preprint arXiv:1611.01907.

Catak, F. O., Ahmet F. Mustacoglu, and Ahmet E. Topcu. 2016. “Privacy Preserving Extreme Learning Machine Classification Model for Distributed Systems.” In Signal Processing and Communications Applications Conference (Siu), 2016.

Catak, F. O. 2015a. “Classification with Extreme Learning Machine and Ensemble Algorithms over Randomly Partitioned Data.” In Signal Processing and Communications Applications Conference (Siu), 2015 23th, 228–31. IEEE.

Catak, F. O. 2015b. “Genetic Algorithm Based Feature Selection in High Dimensional Text Dataset Classification.” WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS 12 (28): 290–96.

Catak, F. O. 2015c. “Robust Ensemble Classifier Combination Based on Noise Removal with One-Class Svm.” In 22nd International Conference on Neural Information Processing (Iconip2015). Springer.

Catak, F. O. 2015d. “Secure Multi-Party Computation Based Privacy Preserving Extreme Learning Machine Algorithm over Vertically Distributed Data.” In The 2015 International Data Mining and Cybersecurity Workshop. Springer.

Catak, F. O. 2014. “Bulut Bilişim Sistemlerinde Eşle/Indirge Yöntemi Uygulanarak Veri Madenciliği Yazılım çatısının Geliştirilmesi.” PhD thesis, Doktora Tezi.

Catak, F. O., and Mehmet Erdal Balaban. 2013. “A Mapreduce Based Distributed Svm Algorithm for Binary Classification.” Turkish Journal of Electrical Engineering & Computer Sciences.

Catak, F. O., and M. Erdal Balaban. 2012. “CloudSVM : Training an Svm Classifier in Cloud Computing Systems.” In International Conference on Pervasive Computing & Networked World, 57–68. Springer Lecture Notes in Computer Science.