Homomorphic Training of 30,000 Logistic Regression Models     Approximate numbers  Homomorphic encryption  GWAS       font style='font-size:12px;'> 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...

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Privacy-preserving semi-parallel logistic regression training with Fully Homomorphic Encryption     fully homomorphic encryption  logistic regression  genome privacy       font style='font-size:12px;'> 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 ...

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SecureNN: Efficient and Private Neural Network Training     secure computation  neural network training  information-theoretic security       font style='font-size:12px;'> 2018/5/15

Neural Networks (NN) provide a powerful method for machine learning training and prediction. For effective training, it is often desirable for multiple parties to combine their data -- however, doing ...

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Logistic Regression Model Training based on the Approximate Homomorphic Encryption     homomorphic encryption  machine learning  logistic regression       font style='font-size:12px;'> 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...

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Privacy-Preserving Logistic Regression Training     homomorphic encryption  logistic regression       font style='font-size:12px;'> 2018/3/5

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...

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