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08/18/2023
Privacy-Preserving 3-Layer Neural Network Training using Mere Homomorphic Encryption Technique
In this manuscript, we consider the problem of privacy-preserving traini...
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05/01/2023
Activation Functions Not To Active: A Plausible Theory on Interpreting Neural Networks
Researchers commonly believe that neural networks model a high-dimension...
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04/07/2023
Privacy-Preserving CNN Training with Transfer Learning
Privacy-preserving nerual network inference has been well studied while ...
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09/03/2022
Quadratic Gradient: Uniting Gradient Algorithm and Newton Method as One
It might be inadequate for the line search technique for Newton's method...
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08/14/2022
Multinomial Logistic Regression Algorithms via Quadratic Gradient
Multinomial logistic regression, also known by other names such as multi...
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01/29/2022
On Polynomial Approximation of Activation Function
In this work, we propose an interesting method that aims to approximate ...
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01/29/2022
A Novel Matrix-Encoding Method for Privacy-Preserving Neural Networks (Inference)
In this work, we present , a novel matrix-encoding method that is partic...
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01/26/2022