AQ2PNN: Enabling Two-party Privacy-Preserving Deep Neural Network Inference with Adaptive Quantization

Yukui Luo, Nuo Xu, Hongwu Peng, Chenghong Wang, Shijin Duan, Kaleel Mahmood, Wujie Wen, Caiwen Ding, Xiaolin Xu. AQ2PNN: Enabling Two-party Privacy-Preserving Deep Neural Network Inference with Adaptive Quantization. In Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2023, Toronto, ON, Canada, 28 October 2023 - 1 November 2023. pages 628-640, ACM, 2023. [doi]

@inproceedings{LuoXPWDMWDX23,
  title = {AQ2PNN: Enabling Two-party Privacy-Preserving Deep Neural Network Inference with Adaptive Quantization},
  author = {Yukui Luo and Nuo Xu and Hongwu Peng and Chenghong Wang and Shijin Duan and Kaleel Mahmood and Wujie Wen and Caiwen Ding and Xiaolin Xu},
  year = {2023},
  doi = {10.1145/3613424.3614297},
  url = {https://doi.org/10.1145/3613424.3614297},
  researchr = {https://researchr.org/publication/LuoXPWDMWDX23},
  cites = {0},
  citedby = {0},
  pages = {628-640},
  booktitle = {Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2023, Toronto, ON, Canada, 28 October 2023 - 1 November 2023},
  publisher = {ACM},
}