Graph Neural Backdoor: Fundamentals, Methodologies, Applications, and Future Directions

8 January 2025

Papers citing "Graph Neural Backdoor: Fundamentals, Methodologies, Applications, and Future Directions"

7 / 7 papers shown

Title
A Clean-graph Backdoor Attack against Graph Convolutional Networks with Poisoned Label Only Jiazhu Dai Haoyu Sun AAML 26 2 0 19 Apr 2024
A clean-label graph backdoor attack method in node classification task Xiaogang Xing Ming Xu Yujing Bai Dongdong Yang AAML 76 7 0 30 Dec 2023
MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators Yaqi Zhang Di Huang B. Liu Shixiang Tang Yan Lu Lu Chen Lei Bai Qi Chu Nenghai Yu Wanli Ouyang 67 96 0 19 Jun 2023
Deep Intellectual Property Protection: A Survey Yuchen Sun Tian-Yi Liu Panhe Hu Qing Liao Shaojing Fu Neng H. Yu Deke Guo Yongxiang Liu Li Liu 23 9 0 28 Apr 2023
The Parrot Dilemma: Human-Labeled vs. LLM-augmented Data in Classification Tasks Anders Giovanni Møller Jacob Aarup Dalsgaard Arianna Pera L. Aiello 64 33 0 26 Apr 2023
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey G. Jin Yuxuan Liang Yuchen Fang Zezhi Shao Jincai Huang Junbo Zhang Yu Zheng AI4TS AI4CE 75 170 0 25 Mar 2023
DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection Yuanchun Li Jiayi Hua Haoyu Wang Chunyang Chen Yunxin Liu FedML SILM 75 74 0 18 Jan 2021