John Chiang

16 papers Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CryptoUNets: Applying Convolutional Networks to Encrypted Data for Biomedical Image Segmentation. CoRR John Chiang
2025	J	`jnl`	Privacy-Preserving CNN Training with Transfer Learning: Two Hidden Layers. CoRR John Chiang
2025	J	`jnl`	Volley Revolver: A Novel Matrix-Encoding Method for Privacy-Preserving Deep Learning (Inference++). CoRR John Chiang
2024	J	`jnl`	A Simple Solution for Homomorphic Evaluation on Large Intervals. CoRR John Chiang
2024	J	`jnl`	LFFR: Logistic Function For (multi-output) Regression. CoRR John Chiang
2024	J	`jnl`	LFFR: Logistic Function For (single-output) Regression. CoRR John Chiang
2024	J	`jnl`	Privacy-Preserving Logistic Regression Training on Large Datasets. CoRR John Chiang
2023	J	`jnl`	Activation Functions Not To Active: A Plausible Theory on Interpreting Neural Networks. CoRR John Chiang
2023	J	`jnl`	Privacy-Preserving 3-Layer Neural Network Training using Mere Homomorphic Encryption Technique. CoRR John Chiang
2023	J	`jnl`	Privacy-Preserving CNN Training with Transfer Learning. CoRR John Chiang
2022	J	`jnl`	A Novel Matrix-Encoding Method for Privacy-Preserving Neural Networks (Inference). CoRR John Chiang
2022	J	`jnl`	Multinomial Logistic Regression Algorithms via Quadratic Gradient. CoRR John Chiang
2022	J	`jnl`	On Polynomial Approximation of Activation Function. CoRR John Chiang
2022	J	`jnl`	Privacy-Preserving Logistic Regression Training with a Faster Gradient Variant. CoRR John Chiang
2022	J	`jnl`	Quadratic Gradient: Uniting Gradient Algorithm and Newton Method as One. CoRR John Chiang
2021	—	`conf`	Non-invasive Grading System for Banana Tiers using RGB Imaging and Deep Learning. ICCAI Armacheska Rivero Mesa, John Chiang