3 papers
cs.CR2024
LFFR: Logistic Function For (multi-output) Regression
John Chiang
In this manuscript, we extend our previous work on privacy-preserving regression to address multi-output regression problems using data encrypted under a fully homomorphic encrypti…
cs.LG2024
LFFR: Logistic Function For (single-output) Regression
John Chiang
Privacy-preserving regression in machine learning is a crucial area of research, aimed at enabling the use of powerful machine learning techniques while protecting individuals' pri…
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…