CryptGNN: Enabling Secure Inference for Graph Neural Networks

Pritam Sen, Yao Ma, Cristian Borcea. CryptGNN: Enabling Secure Inference for Graph Neural Networks. In Chun-Ying Huang, Jyh-Cheng Chen, Shiuh-Pyng Shieh, David Lie, Véronique Cortier, editors, Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security, CCS 2025, Taipei, Taiwan, October 13-17, 2025. pages 291-305, ACM, 2025. [doi]

@inproceedings{SenMB25,
  title = {CryptGNN: Enabling Secure Inference for Graph Neural Networks},
  author = {Pritam Sen and Yao Ma and Cristian Borcea},
  year = {2025},
  doi = {10.1145/3719027.3765232},
  url = {https://doi.org/10.1145/3719027.3765232},
  researchr = {https://researchr.org/publication/SenMB25},
  cites = {0},
  citedby = {0},
  pages = {291-305},
  booktitle = {Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security, CCS 2025, Taipei, Taiwan, October 13-17, 2025},
  editor = {Chun-Ying Huang and Jyh-Cheng Chen and Shiuh-Pyng Shieh and David Lie and Véronique Cortier},
  publisher = {ACM},
  isbn = {979-8-4007-1525-9},
}