Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks

He Zhang, Bang Wu, Shuo Wang, Xiangwen Yang, Minhui Xue, Shirui Pan, Xingliang Yuan. Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 41737-41752, PMLR, 2023. [doi]

@inproceedings{ZhangWWYXPY23,
  title = {Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks},
  author = {He Zhang and Bang Wu and Shuo Wang and Xiangwen Yang and Minhui Xue and Shirui Pan and Xingliang Yuan},
  year = {2023},
  url = {https://proceedings.mlr.press/v202/zhang23aq.html},
  researchr = {https://researchr.org/publication/ZhangWWYXPY23},
  cites = {0},
  citedby = {0},
  pages = {41737-41752},
  booktitle = {International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA},
  editor = {Andreas Krause 0001 and Emma Brunskill and KyungHyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett},
  volume = {202},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}