D4A:

Xianxian Li1, Zeming Gan2, Yan Bai3

  • 1Key Lab of Education Blockchain and Intelligent Technology, Ministry of Education, Guangxi Normal University, Guilin, China; Guangxi Key Lab of Multi-source Information Mining and Security, Guangxi Normal University, Guilin, China; School of Computer Science and Engineering, Guangxi Normal University, Guilin, China.

概括

图形神经网络 (GNN) 面临结构对抗性攻击. 我们引入了一种新的防御,使用无的消息传递和分发转移约束来提高对这些攻击的稳定性.

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