Maochang Zhao

Highly Imperceptible Black-Box Graph Injection Attacks with Reinforcement Learning

Recent studies have revealed the vulnerability of graph neural networks (GNNs) to adversarial attacks. In practice, effectively attacking GNNs is not easy. Existing attack methods primarily focus on modifying the topology of the graph data. In many scenarios, attackers do not have the authority to m…