Adversarial attacks and defenses in machine learning and deep neural network (DNN) have
been gaining significant attention due to the rapidly growing applications of deep learning in …

Modern wireless communication systems rely heavily on multiple antennas and their
corresponding signal processing to achieve optimal performance. As 5G and 6G networks …

Abstract Artificial Intelligence (AI)-based IDS systems are susceptible to adversarial attacks
and face challenges such as complex evaluation methods, elevated false positive rates …

In the ongoing battle against adversarial attacks, adopting a suitable strategy to enhance
model efficiency, bolster resistance to adversarial threats, and ensure practical deployment …

With the rapid development and integration of artificial intelligence (AI) methods in next-
generation networks (NextG), AI algorithms have provided significant advantages for NextG …

Deep neural networks, such as ResNet50, have shown remarkable performance in image
classification tasks. However, susceptibility to adversarial attacks, where small perturbations …

Adversarial attacks significantly threaten the robustness of deep neural networks (DNNs).
Despite the multiple defensive methods employed, they are nevertheless vulnerable to …

Instrumentation systems are essential in many critical applications such as air defense and
natural disaster prediction and control. In these systems, the Quality-of-Service …

Аннотация Цель исследования: разработка методики аналитической обработки
больших массивов данных сервисов и приложений в сетях последнего поколения для …

Цель исследования: разработка методики аналитической обработки больших
массивов данных сервисов и приложений в сетях последнего поколения для …