BLAZE: Blazing Fast Privacy-preserving Machine Learningwww.ndss-symposium.org/wp-content/uploads/2020/02/24202.pdf 摘要 本文提出的BLAZE是安全外包三服务器服务环境下可抵抗一个恶意敌手的环Z2ℓ上的PPML框架, 实现了公平性(当敌手获得输出时, 所有诚实参与方也能获得相同的输出). 利用独立于输入的预...
今天给大家带来的是发表于NDSS'20上的文章Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning, 原文链接: Trident: Efficient 4PC Framework for Privacy Preserving Machine Learningarxiv.org/pdf/1912.02631.pdf Abstract 本文提出环上遵循离线-在线范式的具有主动安全的四方隐私保护机器学习...
While security is at the core of FL, there are still many articles referred to distributed machine learning with no security guarantee as “federated learning”, which are not satisfied with the FL definition supposed to be. To this end, in this paper, we reiterate the concept of federated ...
The broad application of artificial intelligence techniques in medicine is currently hindered by limited dataset availability for algorithm training and validation, due to the absence of standardized electronic medical records, and strict legal and ethic
这篇博客写的挺好:https://blog.csdn.net/qq_37734256/article/details/104223580 PPT:http://jakubkonecny.com/files/2018-01_UW_Federated_Learning.pdf
View PDF View article Google Scholar 3 G. Varoquaux, V. Cheplygina Machine learning for medical imaging: methodological failures and recommendations for the future NPJ Digital Medicine, 5 (1) (2022), pp. 1-8 Number: 1 Publisher: Nature Publishing Group. Available from: ...
With the fast development of cloud computing, more and more data storage and computation are moved from the local to the cloud, especially the applications of machine learning and data analytics. However, the cloud servers are run by a third party and cannot be fully trusted by users. As a...
Traditional machine learning requires collecting data from participants for training, which may lead to malicious acquisition of privacy in participants’ data. Federated learning provides a method to protect participants’ data privacy by transferring t
You are accessing a machine-readable page. In order to be human-readable, please install an RSS reader. Continue Cancel clear All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the ...
In the recent times, machine learning based URL classification techniques where trained models are deployed on server side, emerged as an effective solution to detect new malicious URLs and provide it as a service to the user. While malicious URL detection continues to be a problem, another ...