Outsourcing Private Machine Learning via Lightweight Secure Arithmetic Computation

arXiv: Cryptography and Security, Volume abs/1812.01372, 2018.

被引用1|浏览35
EI

摘要

In several settings of practical interest, two parties seek to collaboratively perform inference on their private data using a public machine learning model. For instance, several hospitals might wish to share patient medical records for enhanced diagnostics and disease prediction, but may not be able to share data in the clear because of...更多

代码

数据

24小时获取PDF
引用
上传PDF

1.系统将在24h内对您上传的文档进行审核,上传无误计入您账户;

2.由于当前系统不支持提现,可添加工作人员微信(AMxiaomai)以红包领取。

3.10积分币兑换1元。

?

上传单篇

获得5个积分币

微信红包
?

上传50篇

获得280个积分币

微信红包
?

上传200篇

获得1200个积分币

微信红包
?

上传500篇

获得3000个积分币

微信红包
?

上传1000篇

获得7000个积分币

微信红包
您的评分 :
0

 

标签
评论