SPU(Secure Processing Unit) consists of a frontend compiler and a backend runtime. The frontend compiler accepts an ML program as input and converts it into an MPC-specific intermediate representation. After a series of delicate code optimizations, programs will be executed by a performant backend runtime as MPC protocols. Based on SPU, we can run ML programs of different frameworks with minor modifications in a privacy-preserving manner.
SPU is a major part of SecretFlow project. SPU is designed to be easily integrated into other distributed system, it's recommended to use SecretFlow to write SPU program.
SPU was accepted by USENIX ATC'23. Please check the paper here.
@inproceedings {288747,
author = {Junming Ma and Yancheng Zheng and Jun Feng and Derun Zhao and Haoqi Wu and Wenjing Fang and Jin Tan and Chaofan Yu and Benyu Zhang and Lei Wang},
title = {{SecretFlow-SPU}: A Performant and {User-Friendly} Framework for {Privacy-Preserving} Machine Learning},
booktitle = {2023 USENIX Annual Technical Conference (USENIX ATC 23)},
year = {2023},
isbn = {978-1-939133-35-9},
address = {Boston, MA},
pages = {17--33},
url = {https://www.usenix.org/conference/atc23/presentation/ma},
publisher = {USENIX Association},
month = jul,
}
.. toctree:: :maxdepth: 2 :hidden: getting_started/index reference/index tutorials/index development/index