5 citations · 7 across the 5 of their papers we have counts for
5 papers
Uncertainty Aware Deep Learning Model for Secure and Trustworthy Channel Estimation in 5G Networks
Ferhat Ozgur Catak, Umit Cali, Murat Kuzlu +1
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…
A Streamlit-based Artificial Intelligence Trust Platform for Next-Generation Wireless Networks
M. Kuzlu, F. O. Catak, S. Sarp +2
With the rapid development and integration of artificial intelligence (AI) methods in next-generation networks (NextG), AI algorithms have provided significant advantages for NextG…
Mitigating Attacks on Artificial Intelligence-based Spectrum Sensing for Cellular Network Signals
Ferhat Ozgur Catak, Murat Kuzlu, Salih Sarp +2
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…
Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case
Febrianti Wibawa, Ferhat Ozgur Catak, Salih Sarp +2
Medical data is often highly sensitive in terms of data privacy and security concerns. Federated learning, one type of machine learning techniques, has been started to use for the…
Analysis of False Data Injection Impact on AI based Solar Photovoltaic Power Generation Forecasting
S. Sarp, M. Kuzlu, U. Cali +2
The use of solar photovoltaics (PV) energy provides additional resources to the electric power grid. The downside of this integration is that the solar power supply is unreliable a…