Mamoon Ahmed Yahay Al Khadher

Securing Deep Learning Systems: Attacks and Defenses across Neural Networks, Federated, Transfer, and Reinforcement Learning

Deep Learning (DL) techniques are widely deployed in critical applications such as autonomous driving, healthcare, and intelligent infrastructure. Core paradigms—Deep Neural Networks (DNNs), Deep Reinforcement Learning (DRL), Federated Learning (FL), and Transfer Learning (TL)—remain vulnerable to adversarial attacks t...