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cs.CR2023
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…
cs.LG2023
Activation Functions Not To Active: A Plausible Theory on Interpreting Neural Networks
John Chiang
Researchers commonly believe that neural networks model a high-dimensional space but cannot give a clear definition of this space. What is this space? What is its dimension? And do…
cs.CR2023★ 1 cited
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…