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2020 – today
- 2024
[i12]John Chiang:
A Simple Solution for Homomorphic Evaluation on Large Intervals. CoRR abs/2405.15201 (2024)- [i11]John Chiang:
Privacy-Preserving Logistic Regression Training on Large Datasets. CoRR abs/2406.13221 (2024) - [i10]John Chiang:
LFFR: Logistic Function For (single-output) Regression. CoRR abs/2407.09955 (2024) - [i9]John Chiang:
LFFR: Logistic Function For (multi-output) Regression. CoRR abs/2407.21187 (2024) - 2023
- [i8]John Chiang:
Privacy-Preserving CNN Training with Transfer Learning. CoRR abs/2304.03807 (2023) - [i7]John Chiang:
Activation Functions Not To Active: A Plausible Theory on Interpreting Neural Networks. CoRR abs/2305.00663 (2023) - [i6]John Chiang:
Privacy-Preserving 3-Layer Neural Network Training using Mere Homomorphic Encryption Technique. CoRR abs/2308.09531 (2023) - 2022
- [i5]John Chiang:
Privacy-Preserving Logistic Regression Training with a Faster Gradient Variant. CoRR abs/2201.10838 (2022) - [i4]John Chiang:
A Novel Matrix-Encoding Method for Privacy-Preserving Neural Networks (Inference). CoRR abs/2201.12577 (2022) - [i3]John Chiang:
On Polynomial Approximation of Activation Function. CoRR abs/2202.00004 (2022) - [i2]John Chiang:
Multinomial Logistic Regression Algorithms via Quadratic Gradient. CoRR abs/2208.06828 (2022) - [i1]John Chiang:
Quadratic Gradient: Uniting Gradient Algorithm and Newton Method as One. CoRR abs/2209.03282 (2022) - 2021
- [c1]Armacheska Rivero Mesa, John Chiang:
Non-invasive Grading System for Banana Tiers using RGB Imaging and Deep Learning. ICCAI 2021: 113-118
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