Wenjie Lu, Jun Sakuma. More Practical Privacy-Preserving Machine Learning as A Service via Efficient Secure Matrix Multiplication. In Michael Brenner 0003, Kurt Rohloff, editors, Proceedings of the 6th Workshop on Encrypted Computing & Applied Homomorphic Cryptography, WAHC@CCS 2018, Toronto, ON, Canada, October 19, 2018. pages 25-36, ACM, 2018. [doi]
@inproceedings{LuS18-11,
title = {More Practical Privacy-Preserving Machine Learning as A Service via Efficient Secure Matrix Multiplication},
author = {Wenjie Lu and Jun Sakuma},
year = {2018},
doi = {10.1145/3267973.3267976},
url = {https://doi.org/10.1145/3267973.3267976},
researchr = {https://researchr.org/publication/LuS18-11},
cites = {0},
citedby = {0},
pages = {25-36},
booktitle = {Proceedings of the 6th Workshop on Encrypted Computing & Applied Homomorphic Cryptography, WAHC@CCS 2018, Toronto, ON, Canada, October 19, 2018},
editor = {Michael Brenner 0003 and Kurt Rohloff},
publisher = {ACM},
isbn = {978-1-4503-5987-0},
}