1 citations · 3 across the 10 of their papers we have counts for
4 papers · 1 filter
Privacy-Preserving 3-Layer Neural Network Training
John Chiang
In this manuscript, we consider the problem of privacy-preserving training of neural networks in the mere homomorphic encryption setting. We combine several exsiting techniques ava…
Privacy-Preserving CNN Training with Transfer Learning: Multiclass Logistic Regression
John Chiang
In this paper, we present a practical solution to implement privacy-preserving CNN training based on mere Homomorphic Encryption (HE) technique. To our best knowledge, this is the…
Volley Revolver: A Novel Matrix-Encoding Method for Privacy-Preserving Neural Networks (Inference)
John Chiang
In this work, we present a novel matrix-encoding method that is particularly convenient for neural networks to make predictions in a privacy-preserving manner using homomorphic enc…
Privacy-Preserving Logistic Regression Training with A Faster Gradient Variant
John Chiang
Training logistic regression over encrypted data has emerged as a prominent approach to addressing security concerns in recent years. In this paper, we introduce an efficient gradi…