Mitigating Attacks on Artificial Intelligence-based Spectrum Sensing for Cellular Network Signals

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.

Management Semantic Segmentation

BFV-Based Homomorphic Encryption for Privacy-Preserving CNN Models

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.

Federated Learning Privacy Preserving

Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case

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.

Adversarial Attack Federated Learning +1