A novel transferable graph prompt attack, called TGPA, is proposed, which shifts the attack paradigm by introducing a hierarchical structural decoupling mechanism, which reduces the performance of pre-trained graph models with graph prompts by up to 28.9%, while guaranteeing robustness, stealthiness, and transferability.
Ju Jia, Haonan Wang, Tian Wu et al.· Neural Networks· 0 citations