PASNet_DAC

Evaluation code on PASNet-A (ResNet18 as backbone), PASNet-B and PASNet-C (ResNet50 as backbone), PASNet-D (MobileNetV2 as backbone) on imagenet.

• Install requirements

  pip install -r requirements.txt

• Run evaluation

  bash run_eval.sh

Please find the checkpoints here. Full PASNet framework training/secure inference pipeline, and pretrained models (PASNet-A to PASNet-D) will be released upon paper reception.

Full code will be released soon...

Please cite our paper if you use the code ✔

@inproceedings{peng2023pasnet,
  title={PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment},
  author={Peng, Hongwu and Zhou, Shanglin and Luo, Yukui and others},
  booktitle={2023 60th ACM/IEEE Design Automation Conference (DAC)},
  pages={1--6},
  year={2023},
  organization={IEEE}
}