Enyan Dai

Enyan Dai

The Pennsylvania State University, IST

[Video] Introduction about Unnoticeable Backdoor Attacks on Graph Neural Networks (WWW-2023)

less than 1 minute read

Published:

Summary: we study a novel problem of unnoticeable graph backdoor attacks with limited attack budget. The proposed method can achieve high attack rate on large-scale datasets with samll costs.

Papaer link: Enyan Dai, Minhua Lin, Xiang Zhang, and Suhang Wang. “Unnoticeable Backdoor Attacks on Graph Neural Networks” Accepted by The Web Conference (WWW 2023) [paper, code]

English

中文加长版

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