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}
}