Evaluation code on PASNet-A (ResNet18 as backbone), PASNet-B and PASNet-C (ResNet50 as backbone), PASNet-D (MobileNetV2 as backbone) on imagenet.
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Install requirements
pip install -r requirements.txt
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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}
}