Fidha Ezzaldin Aslan

Mitigating GAN-based poisoning attacks in federated learning using a decentralized multi-layer security framework with blockchain

Federated learning (FL) has gained prominence in decentralized artificial intelligence applications; however, its susceptibility to adversarial attacks, particularly GAN-based poisoning, remains a critical challenge. This study proposes a decentralized, multi-layered security framework integrating blockchain-backed val...