Zhao Chang

Privacy-Preserving Graph Neural Network Inference Using Homomorphic Encryption for Secure Graph Classification

Graph Neural Networks have achieved remarkable success in graph-based learning tasks, but often require access to sensitive data during inference, raising privacy concerns in domains such as healthcare, finance, and cybersecurity. Homomorphic Encryption enables computation on encrypted data; however, directly applying...