4 papers
Federated Learning Architecture: Data Privacy and System Security Approaches
Cagdas Karatas, Hibanur Karadogan, Ahmet Yasin Ertug +3
This study explores the integration of homomorphic encryption and differential privacy techniques to enhance data privacy and security in Federated Learning (FL) systems. FL allows…
Digital Image Forgery Detection Using Transfer Learning
Fatma Betul Buyuk, Gozde Karatas Baydogmus, Ali Buldu +2
The increasing availability of advanced image editing tools has led to a significant rise in manipulated digital content, posing serious challenges for digital forensics and inform…
Smart Routing for EV Charge Point Operators in Mega Cities: Case Study of Istanbul
Onur Yenigun, Gozde Karatas Baydogmus, Kazim Yildiz
The rapidly increasing use of electric vehicles (EVs) has made it even more important to manage the charging infrastructure sustainably. The expansion of charging station networks,…
Differential Privacy in Federated Learning: Mitigating Inference Attacks with Randomized Response
Ozer Ozturk, Busra Buyuktanir, Gozde Karatas Baydogmus +1
Machine learning models used for distributed architectures consisting of servers and clients require large amounts of data to achieve high accuracy. Data obtained from clients are…