:: Library Catalog

Saved in:

Bibliographic Details
Main Authors:	Saeki, Shozo, Kawahara, Minoru, Aman, Hirohisa
Format:	Preprint
Published:	2026
Subjects:	Cryptography and Security
Online Access:	https://arxiv.org/abs/2604.17816
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Blind Evaluation Framework for Fully Homomorphic Encryption and Privacy-Preserving Machine Learning
by: Lee, Hunjae "Timothy", et al.
Published: (2023)

Combined Hyperbolic and Euclidean Soft Triple Loss Beyond the Single Space Deep Metric Learning
by: Saeki, Shozo, et al.
Published: (2025)

Outsourced Privacy-Preserving Feature Selection Based on Fully Homomorphic Encryption
by: Wakiyama, Koki, et al.
Published: (2025)

Multimodal Privacy-Preserving Entity Resolution with Fully Homomorphic Encryption
by: Roy, Susim, et al.
Published: (2026)

Towards Privacy-Preserving Federated Learning using Hybrid Homomorphic Encryption
by: Costa, Ivan, et al.
Published: (2026)

Activate Me!: Designing Efficient Activation Functions for Privacy-Preserving Machine Learning with Fully Homomorphic Encryption
by: Njungle, Nges Brian, et al.
Published: (2025)

Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption
by: Chowdhury, Moontaha Nishat, et al.
Published: (2025)

Comparison of Fully Homomorphic Encryption and Garbled Circuit Techniques in Privacy-Preserving Machine Learning Inference
by: Cheerla, Kalyan, et al.
Published: (2025)

FheFL: Fully Homomorphic Encryption Friendly Privacy-Preserving Federated Learning with Byzantine Users
by: Rahulamathavan, Yogachandran, et al.
Published: (2023)

Privacy-Preserving Diffusion Model Using Homomorphic Encryption
by: Chen, Yaojian, et al.
Published: (2024)

HHEML: Hybrid Homomorphic Encryption for Privacy-Preserving Machine Learning on Edge
by: Chan, Yu Hin, et al.
Published: (2025)

Efficient and Privacy-Preserving Federated Learning based on Full Homomorphic Encryption
by: Guo, Yuqi, et al.
Published: (2024)

Privacy-Preserving Graph-Based Machine Learning with Fully Homomorphic Encryption for Collaborative Anti-Money Laundering
by: Effendi, Fabrianne, et al.
Published: (2024)

Energy Consumption of TLS, Searchable Encryption and Fully Homomorphic Encryption
by: Damie, Marc, et al.
Published: (2025)

Enabling Privacy-preserving Model Evaluation in Federated Learning via Fully Homomorphic Encryption
by: Baykara, Cem Ata, et al.
Published: (2024)

Practical and Private Hybrid ML Inference with Fully Homomorphic Encryption
by: Biswas, Sayan, et al.
Published: (2025)

Efficient Privacy-Preserving KAN Inference Using Homomorphic Encryption
by: Lai, Zhizheng, et al.
Published: (2024)

Optimized Layerwise Approximation for Efficient Private Inference on Fully Homomorphic Encryption
by: Lee, Junghyun, et al.
Published: (2023)

Secure Multi-Key Homomorphic Encryption with Application to Privacy-Preserving Federated Learning
by: Wu, Jiahui, et al.
Published: (2025)

Efficient Privacy-Preserving Sparse Matrix-Vector Multiplication Using Homomorphic Encryption
by: Gao, Yang, et al.
Published: (2026)

Privacy Enhanced QKD Networks: Zero Trust Relay Architecture based on Homomorphic Encryption
by: Brazaola-Vicario, Aitor, et al.
Published: (2025)

Enhancing Privacy in Face Analytics Using Fully Homomorphic Encryption
by: Yalavarthi, Bharat, et al.
Published: (2024)

A Pervasive, Efficient and Private Future: Realizing Privacy-Preserving Machine Learning Through Hybrid Homomorphic Encryption
by: Nguyen, Khoa, et al.
Published: (2024)

Efficient Quantum Fully Homomorphic Encryption
by: Liu, Fengxia, et al.
Published: (2026)

The Beginner's Textbook for Fully Homomorphic Encryption
by: Ko, Ronny
Published: (2025)

GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic Encryption
by: Frimpong, Eugene, et al.
Published: (2024)

CoFHEE: A Co-processor for Fully Homomorphic Encryption Execution (Extended Version)
by: Nabeel, Mohammed, et al.
Published: (2022)

REED: Chiplet-Based Accelerator for Fully Homomorphic Encryption
by: Aikata, Aikata, et al.
Published: (2023)

Arbitrary-Threshold Fully Homomorphic Encryption with Lower Complexity
by: Chang, Yijia, et al.
Published: (2025)

Lancelot: Towards Efficient and Privacy-Preserving Byzantine-Robust Federated Learning within Fully Homomorphic Encryption
by: Jiang, Siyang, et al.
Published: (2024)

Efficient Privacy-Preserving Cross-Silo Federated Learning with Multi-Key Homomorphic Encryption
by: Omar, Abdullah Al, et al.
Published: (2025)

Blockchain-Integrated Privacy-Preserving Medical Insurance Claim Processing Using Homomorphic Encryption
by: Mamoria, Diya, et al.
Published: (2025)

PP-STAT: An Efficient Privacy-Preserving Statistical Analysis Framework using Homomorphic Encryption
by: Choi, Hyunmin
Published: (2025)

SoK: Fully Homomorphic Encryption Accelerators
by: Zhang, Junxue, et al.
Published: (2022)

Orion: A Fully Homomorphic Encryption Framework for Deep Learning
by: Ebel, Austin, et al.
Published: (2023)

Adapting AlphaEvolve to Optimize Fully Homomorphic Encryption on TPUs
by: Gorantala, Shruthi, et al.
Published: (2026)

BlindFL: Segmented Federated Learning with Fully Homomorphic Encryption
by: Gronberg, Evan, et al.
Published: (2025)

Osiris: A Systolic Approach to Accelerating Fully Homomorphic Encryption
by: Ebel, Austin, et al.
Published: (2024)

FHEON: A Configurable Framework for Developing Privacy-Preserving Neural Networks Using Homomorphic Encryption
by: Njungle, Nges Brian, et al.
Published: (2025)

Privacy-Preserving Cyberattack Detection in Blockchain-Based IoT Systems Using AI and Homomorphic Encryption
by: Manh, Bui Duc, et al.
Published: (2024)