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Homomorphic Training of 30,000 Logistic Regression Models
Approximate numbers Homomorphic encryption GWAS
2019/4/28
In this work, we demonstrate the use the CKKS homomorphic encryption scheme to train a large number of logistic regression models simultaneously, as needed to run a genome-wide association study (GWAS...
Semi-parallel Logistic Regression for GWAS on Encrypted Data
Homomorphic encryption Genome-wide association studies Logistic regression
2019/3/21
The sharing of biomedical data is crucial to enable scientific discoveries across institutions and improve health care. For example, genome-wide association studies (GWAS) based on a large number of s...
Privacy-preserving semi-parallel logistic regression training with Fully Homomorphic Encryption
fully homomorphic encryption logistic regression genome privacy
2019/2/27
Background Privacy-preserving computations on genomic data, and more generally on medical data, is a critical path technology for innovative, life-saving research to positively and equally impact the ...
Efficient Logistic Regression on Large Encrypted Data
implementation machine learning homomorphic encryption
2018/7/10
Machine learning on encrypted data is a cryptographic method for analyzing private and/or sensitive data while keeping privacy. In the training phase, it takes as input an encrypted training data and ...
Logistic regression over encrypted data from fully homomorphic encryption
homomorphic encryption logistic regression
2018/5/22
More precisely, given a list of approximately 15001500 patient records, each with 1818 binary features containing information on specific mutations, the idea was for the data holder to encrypt the rec...
Logistic Regression Model Training based on the Approximate Homomorphic Encryption
homomorphic encryption machine learning logistic regression
2018/3/8
Security concerns have been raised since big data became a prominent tool in data analysis. For instance, many machine learning algorithms aim to generate prediction models using training data which c...
Doing Real Work with FHE: The Case of Logistic Regression
Homomorphic Encryption Implementation Logistic Regression
2018/3/5
We describe our recent experience, building a system that uses fully-homomorphic encryption (FHE) to approximate the coefficients of a logistic-regression model, built from genomic data. The aim of th...
Logistic regression is a popular technique used in machine learning to construct classification models. Since the construction of such models is based on computing with large datasets, it is an appeal...
Secure Logistic Regression based on Homomorphic Encryption
Homomorphic encryption approximate arithmetic logistic regression
2018/1/19
Learning a model without accessing raw data has been an intriguing idea to the security and machine learning researchers for years. In an ideal setting, we want to encrypt sensitive data to store them...
Efficient and Private Scoring of Decision Trees, Support Vector Machines and Logistic Regression Models based on Pre-Computation
privacy-preserving private data
2016/7/29
Many data-driven personalized services require that private data of users is scored against a trained machine learning model. In this paper we propose a novel protocol for privacy-preserving classific...
Scalable and Secure Logistic Regression via Homomorphic Encryption
Logistic regression homomorphic encryption Paillier
2016/2/23
Logistic regression is a powerful machine learning tool to classify data. When dealing with
sensitive data such as private or medical information, cares are necessary. In this paper, we propose
a se...
本软件将DES加密技术和混沌数字流技术结合，形成了加密强度更市制DES混沌加密算法。通过对WINDOS API命令进行拦截，嵌入DES混沌加密模块，实现了对特定网络系统上的文件的自动加密和解密。建立了基于RSA算法对DES混沌模块产生的用户密钥进行管理的模型，使一个网络系统只有一个特定的ID。使用专门的USB-KEY，动态保护用户密码，用户只有通过身份认证才能在网络中方便的查看各种明文。本软件是一...
基于多个Logistic映射的分组加密算法
混沌 分组加密 密码系统 安全
2008/5/16
分析了设计加密算法时应该注意的问题，并在此基础上，提出了一种基于多个logistic映射的分组加密算法。该算法中使用了多个混沌映射，有效地扩展了其密钥空间。加密过程中，子密钥序列以密文反馈和从混沌映射中抽取数据相结合的方式产生，这使子密钥序列在保持良好的均匀分布和随机统计特性的同时，还与明文相关，有效地增强了算法的安全性。理论分析和模拟试验表明，该加密算法具有加密速度快，保密性好等优点。