Model Stealing Attacks Against Inductive Graph Neural Networks

Model Stealing Attacks Against Inductive Graph Neural Networks

Explore the vulnerabilities of inductive graph neural networks in this 18-minute IEEE conference talk, delving into model stealing attacks. Learn from experts Yun Shen, Xinlei He, Yufei Han, and Yang Zhang as they discuss potential security risks and implications for graph-based machine learning models.