Enhancing Node-Level Adversarial Defenses by Lipschitz Regularization of Graph Neural Networks

Yaning Jia, Dongmian Zou, Hongfei Wang, Hai Jin 0001. Enhancing Node-Level Adversarial Defenses by Lipschitz Regularization of Graph Neural Networks. In Ambuj Singh, Yizhou Sun, Leman Akoglu, Dimitrios Gunopulos, Xifeng Yan, Ravi Kumar 0001, Fatma Ozcan, Jieping Ye, editors, Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023. pages 951-963, ACM, 2023. [doi]

@inproceedings{JiaZW023,
  title = {Enhancing Node-Level Adversarial Defenses by Lipschitz Regularization of Graph Neural Networks},
  author = {Yaning Jia and Dongmian Zou and Hongfei Wang and Hai Jin 0001},
  year = {2023},
  doi = {10.1145/3580305.3599335},
  url = {https://doi.org/10.1145/3580305.3599335},
  researchr = {https://researchr.org/publication/JiaZW023},
  cites = {0},
  citedby = {0},
  pages = {951-963},
  booktitle = {Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023},
  editor = {Ambuj Singh and Yizhou Sun and Leman Akoglu and Dimitrios Gunopulos and Xifeng Yan and Ravi Kumar 0001 and Fatma Ozcan and Jieping Ye},
  publisher = {ACM},
}