Blar i NTNU Open på forfatter "Kuzlu, Murat"
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Adversarial security mitigations of mmWave beamforming prediction models using defensive distillation and adversarial retraining
Kuzlu, Murat; Catak, Ferhat Özgur; Cali, Umit; Evren, Catak; Guler, Ozgur (Journal article; Peer reviewed, 2022)The design of a security scheme for beamforming prediction is critical for next-generation wireless networks (5G, 6G, and beyond). However, there is no consensus about protecting beamforming prediction using deep learning ... -
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 (Journal article; Peer reviewed, 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 ... -
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)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 ... -
Digital Energy Platforms Considering Digital Privacy and Security by Design Principles
Cali, Umit; Dynge, Marthe Fogstad; Idries, Ahmed Yousif Mohamed; Mishra, Sambeet; Ivanko, Dmytro; Hashemipour, Naser; Kuzlu, Murat (Chapter, 2023)The power system and markets have become increasingly complex, along with efforts to digitalize the energy sector. Accessing flexibility services, in particular, through digital energy platforms, has enabled communication ... -
The enlightening role of explainable artificial intelligence in chronic wound classification
Sarp, Salih; Kuzlu, Murat; Wilson, Emmanuel; Cali, Umit; Guler, Ozgur (Peer reviewed; Journal article, 2021)Artificial Intelligence (AI) has been among the most emerging research and industrial application fields, especially in the healthcare domain, but operated as a black-box model with a limited understanding of its inner ... -
Mitigating Attacks on Artificial Intelligence-based Spectrum Sensing for Cellular Network Signals
Catak, Ferhat Özgur; Kuzlu, Murat; Sarp, Salih; Evren, Catak; Cali, Umit (Peer reviewed; Journal article, 2023)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. The main goal of these ... -
An overview of bidirectional electric vehicles charging system as a Vehicle to Anything (V2X) under Cyber–Physical Power System (CPPS)
Elma, Onur; Cali, Umit; Kuzlu, Murat (Peer reviewed; Journal article, 2022)Nowadays, EVs are rapidly increasing in popularity, and are accepted as the vehicles of the future all over the world. The most important components are their battery and charging systems. The energy capacity of EVs’ ... -
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 ... -
Uncertainty Aware Deep Learning Model for Secure and Trustworthy Channel Estimation in 5G Networks
Catak, Ferhat Özgur; Cali, Umit; Kuzlu, Murat; Sarp, Salih (Peer reviewed; Journal article, 2023)With the rise of intelligent applications, such as self-driving cars and augmented reality, the security and reliability of wireless communication systems have become increasingly crucial. One of the most critical components ... -
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)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 ...