23 citations · 74 across the 26 of their papers we have counts for
6 papers · 1 filter
Secure Multi-Party Computation based Privacy Preserving Data Analysis in Healthcare IoT Systems
Kevser Şahinbaş, Ferhat Ozgur Catak
Recently, many innovations have been experienced in healthcare by rapidly growing Internet-of-Things (IoT) technology that provides significant developments and facilities in the h…
Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous Driving
Ferhat Ozgur Catak, Tao Yue, Shaukat Ali
Object detection in autonomous cars is commonly based on camera images and Lidar inputs, which are often used to train prediction models such as deep artificial neural networks for…
Security Concerns on Machine Learning Solutions for 6G Networks in mmWave Beam Prediction
Ferhat Ozgur Catak, Evren Catak, Murat Kuzlu +2
6G -- sixth generation -- is the latest cellular technology currently under development for wireless communication systems. In recent years, machine learning algorithms have been a…
Adversarial Machine Learning Security Problems for 6G: mmWave Beam Prediction Use-Case
Evren Catak, Ferhat Ozgur Catak, Arild Moldsvor
6G is the next generation for the communication systems. In recent years, machine learning algorithms have been applied widely in various fields such as health, transportation, and…
Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples
Omer Faruk Tuna, Ferhat Ozgur Catak, M. Taner Eskil
Deep neural network architectures are considered to be robust to random perturbations. Nevertheless, it was shown that they could be severely vulnerable to slight but carefully cra…
Internet of Predictable Things (IoPT) Framework to Increase Cyber-Physical System Resiliency
Umit Cali, Murat Kuzlu, Vinayak Sharma +2
During the last two decades, distributed energy systems, especially renewable energy sources (RES), have become more economically viable with increasing market share and penetratio…