3 code implementations • 6 May 2019 • Ferhat Ozgur Catak, Ahmet Faruk Yazı
The use of operating system API calls is a promising task in the detection of PE-type malware in the Windows operating system.
Cryptography and Security
1 code implementation • 5 Oct 2020 • Ferhat Ozgur Catak, Javed Ahmed, Kevser Sahinbas, Zahid Hussain Khand
The main contributions of the paper's model structure consist of three components, including image generation from malware samples, image augmentation, and the last one is classifying the malware families by using a convolutional neural network model.
no code implementations • 11 Dec 2020 • Omer Faruk Tuna, Ferhat Ozgur Catak, M. Taner Eskil
While state-of-the-art Deep Neural Network (DNN) models are considered to be robust to random perturbations, it was shown that these architectures are highly vulnerable to deliberately crafted perturbations, albeit being quasi-imperceptible.
no code implementations • 19 Jan 2021 • Umit Cali, Murat Kuzlu, Vinayak Sharma, Manisa Pipattanasomporn, Ferhat Ozgur Catak
During the last two decades, distributed energy systems, especially renewable energy sources (RES), have become more economically viable with increasing market share and penetration levels on power systems.
no code implementations • 8 Feb 2021 • Omer Faruk Tuna, Ferhat Ozgur Catak, M. Taner Eskil
Deep neural network architectures are considered to be robust to random perturbations.
no code implementations • 12 Mar 2021 • Evren Catak, Ferhat Ozgur Catak, Arild Moldsvor
This paper has proposed a mitigation method for adversarial attacks against proposed 6G machine learning models for the millimeter-wave (mmWave) beam prediction with adversarial learning.
no code implementations • 9 May 2021 • Ferhat Ozgur Catak, Evren Catak, Murat Kuzlu, Umit Cali, Devrim Unal
We also present the adversarial learning mitigation method's performance for 6G security in mmWave beam prediction application with fast gradient sign method attack.
1 code implementation • 11 Jul 2021 • Ferhat Ozgur Catak, Tao Yue, Shaukat Ali
Object detection in autonomous cars is commonly based on camera images and Lidar inputs, which are often used to train prediction models such as deep artificial neural networks for decision making for object recognition, adjusting speed, etc.
no code implementations • 29 Sep 2021 • Kevser Şahinbaş, Ferhat Ozgur Catak
Recently, many innovations have been experienced in healthcare by rapidly growing Internet-of-Things (IoT) technology that provides significant developments and facilities in the health sector and improves daily human life.
no code implementations • 15 Feb 2022 • Omer Faruk Tuna, Ferhat Ozgur Catak, M. Taner Eskil
In this study, we show both mathematically and experimentally that using some widely known activation functions in the output layer of the model with high temperature values has the effect of zeroing out the gradients for both targeted and untargeted attack cases, preventing attackers from exploiting the model's loss function to craft adversarial samples.
no code implementations • 16 Feb 2022 • Murat Kuzlu, Ferhat Ozgur Catak, Umit Cali, Evren Catak, Ozgur Guler
This paper presents the security vulnerabilities in deep learning for beamforming prediction using deep neural networks (DNNs) in 6G wireless networks, which treats the beamforming prediction as a multi-output regression problem.
no code implementations • 16 Apr 2022 • Febrianti Wibawa, Ferhat Ozgur Catak, Salih Sarp, Murat Kuzlu, Umit Cali
In this study, the proposed algorithm using a real-world medical dataset is evaluated in terms of the model performance.
no code implementations • journal 2022 • FebriantiWibawa, Ferhat Ozgur Catak, Salih Sarp, Murat Kuzlu
Federated learning has been used to increase the privacy and security of medical data, which is a sort of machine learning technique.
1 code implementation • 12 Aug 2022 • Ferhat Ozgur Catak, Murat Kuzlu, Evren Catak, Umit Cali, Ozgur Guler
The key motivation of NextG networks is to meet the high demand for those applications by improving and optimizing network functions.
no code implementations • 21 Sep 2022 • Yuval Abraham Regev, Henrik Vassdal, Ugur Halden, Ferhat Ozgur Catak, Umit Cali
Over the last few decades, extensive use of information and communication technologies has been the main driver of the digitalization of power systems.
no code implementations • 27 Sep 2022 • Ferhat Ozgur Catak, Murat Kuzlu, Salih Sarp, Evren Catak, Umit Cali
Cellular networks (LTE, 5G, and beyond) are dramatically growing with high demand from consumers and more promising than the other wireless networks with advanced telecommunication technologies.
no code implementations • 5 Dec 2022 • Ugur Halden, Umit Cali, Ferhat Ozgur Catak, Salvatore D'Arco, Francisco Bilendo
The widespread use of information and communication technology (ICT) over the course of the last decades has been a primary catalyst behind the digitalization of power systems.