Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function.

Binghui Wang|Minhua Lin|Tianxiang Zhou|Pan Zhou|Ang Li|Meng Pang|Hai Helen Li|Yiran Chen


Anthology ID:DBLP:conf/wsdm/WangLZZ0PL024
Volume:Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024
Year:2024
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:693-701
URL:https://doi.org/10.1145/3616855.3635826
DOI:https://doi.org/10.1145/3616855.3635826
DBLP:conf/wsdm/WangLZZ0PL024
BibTeX:
@inproceedings{wang-2024-efficient, author = {Binghui Wang and Minhua Lin and Tianxiang Zhou and Pan Zhou and Ang Li and Meng Pang and Hai Helen Li and Yiran Chen}, editor = {Luz Angelica Caudillo-Mata and Silvio Lattanzi and Andr\'{e}s Mu\~{n}oz Medina and Leman Akoglu and Aristides Gionis and Sergei Vassilvitskii}, title = {{Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function}}, booktitle = {{Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024}}, pages = {693--701}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3616855.3635826}, doi = {https://doi.org/10.1145/3616855.3635826} }