Blar i Vitenskapelige publikasjoner (TN-IDE) på forfatter "Catak, Ferhat Özgur"
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Analysis of deceptive data attacks with adversarial machine learning for solar photovoltaic power generation forecasting
Kuzlu, Murat; Sarp, Salih; Catak, Ferhat Özgur; Cali, Umit; Zhao, Yanxiao; Elma, Onur; Guler, Ozgur (Peer reviewed; Journal article, 2022)The solar photovoltaics (PV) energy resources have become more important with their significant contribution to the current power grid among renewable energy resources. However, the integration of the solar PV causes ... -
BFV-Based Homomorphic Encryption for Privacy-Preserving CNN Models
Wibawa, Febrianti; Catak, Ferhat Özgur; Sarp, Salih; Kuzlu, Murat (Peer reviewed; Journal article, 2022)Medical data is frequently quite sensitive in terms of data privacy and security. Federated learning has been used to increase the privacy and security of medical data, which is a sort of machine learning technique. The ... -
Defensive Distillation-based Adversarial Attack Mitigation Method for Channel Estimation using Deep Learning Models in Next-Generation Wireless Networks
Catak, Ferhat Özgur; Kuzlu, Murat; Catak, Evren; Cali, Umit; Guler, Ozgur (Peer reviewed; Journal article, 2022-09)Future wireless networks (5G and beyond), also known as Next Generation or NextG, are the vision of forthcoming cellular systems, connecting billions of devices and people together. In the last decades, cellular networks ... -
Deployment and Implementation Aspects of Radio Frequency Fingerprinting in Cybersecurity of Smart Grids
Awan, Maaz Ali; Dalveren, Yaser; Catak, Ferhat Özgur; Kara, Ali (Peer reviewed; Journal article, 2023)Smart grids incorporate diverse power equipment used for energy optimization in intelligent cities. This equipment may use Internet of Things (IoT) devices and services in the future. To ensure stable operation of smart ... -
Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples
Tuna, Omer Faruk; Catak, Ferhat Özgur; Eskil, Taner (Peer reviewed; Journal article, 2022)Deep neural network (DNN) architectures are considered to be robust to random perturbations. Nevertheless, it was shown that they could be severely vulnerable to slight but carefully crafted perturbations of the input, ... -
Modelling and Design of Pre-Equalizers for a Fully Operational Visible Light Communication System
Bostanoglu, Murat; Dalveren, Yaser; Catak, Ferhat Özgur; Kara, Ali (Peer reviewed; Journal article, 2023-06)Nowadays, Visible Light Communication (VLC) has gained much attention due to the significant advancements in Light Emitting Diode (LED) technology. However, the bandwidth of LEDs is one of the important concerns that limits ... -
On the Performance of Energy Criterion Method in Wi-Fi Transient Signal Detection
Mohamed, Ismail; Dalveren, Yaser; Catak, Ferhat Özgur; Kara, Ali (Peer reviewed; Journal article, 2022-01)In the development of radiofrequency fingerprinting (RFF), one of the major challenges is to extract subtle and robust features from transmitted signals of wireless devices to be used in accurate identification of possible ... -
A Practical Implementation of Medical Privacy-Preserving Federated Learning Using Multi-Key Homomorphic Encryption and Flower Framework
Walskaar, Ivar; Tran, Minh Christian; Catak, Ferhat Özgur (Peer reviewed; Journal article, 2023-10)The digitization of healthcare data has presented a pressing need to address privacy concerns within the realm of machine learning for healthcare institutions. One promising solution is federated learning, which enables ... -
Security concerns on machine learning solutions for 6G networks in mmWave beam prediction
Catak, Ferhat Özgur; Kuzlu, Murat; Catak, Evren; Cali, Umit; Unal, Devrim (Peer reviewed; Journal article, 2022)6G – sixth generation – is the latest cellular technology currently under development for wireless communication systems. In recent years, machine learning (ML) algorithms have been applied widely in various fields, such ... -
Security Hardening of Intelligent Reflecting Surfaces Against Adversarial Machine Learning Attacks
Catak, Ferhat Özgur; Kuzlu, Murat; Tang, Haolin; Evren, Catak; Zhao, Yanxiao (Peer reviewed; Journal article, 2022-09-14)Next-generation communication networks, also known as NextG or 5G and beyond, are the future data transmission systems that aim to connect a large amount of Internet of Things (IoT) devices, systems, applications, and ... -
Towards robust autonomous driving systems through adversarial test set generation
Unal, Devrim; Catak, Ferhat Özgur; Houkan, Mohammad Talal; Mudassir, Mohammed; Hammoudeh, Mohammad (Peer reviewed; Journal article, 2022)Correct environmental perception of objects on the road is vital for the safety of autonomous driving. Making appropriate decisions by the autonomous driving algorithm could be hindered by data perturbations and more ... -
Uncertainty as a Swiss army knife: new adversarial attack and defense ideas based on epistemic uncertainty
Tuna, Omer Faruk; Catak, Ferhat Özgur; Eskil, Taner (Peer reviewed; Journal article, 2022)Although state-of-the-art deep neural network models are known to be robust to random perturbations, it was verified that these architectures are indeed quite vulnerable to deliberately crafted perturbations, albeit being ... -
Uncertainty-Aware Prediction Validator in Deep Learning Models for Cyber-Physical System Data
Catak, Ferhat Özgur; Yue, Tao; Ali, Shaukat (Peer reviewed; Journal article, 2022)The use of Deep learning in Cyber-Physical Systems (CPSs) is gaining popularity due to its ability to bring intelligence to CPS behaviors. However, both CPSs and deep learning have inherent uncertainty. Such uncertainty, ... -
An XAI approach for COVID-19 detection using transfer learning with X-ray images
Sarp, Salih; Catak, Ferhat Özgur; Kuzlu, Murat; Cali, Umit; Kusetogullari, Huseyin; Zhao, Yanxiao; Guler, Ozgur (Peer reviewed; Journal article, 2023-04)The coronavirus disease (COVID-19) has continued to cause severe challenges during this unprecedented time, affecting every part of daily life in terms of health, economics, and social development. There is an increasing ...