One-Class Graph Embedding Classification for Detecting Backdoor Attacks in Deep Neural Networks

A novel one-class graph embedding classification (OCGEC) framework that leverages graph neural networks to effectively detect backdoor attacks in deep neural network models without requiring any knowledge of the attack strategy or poisoned training data.