Cover Image

Blind Evaluation Framework for Fully Homomorphic Encryption and Privacy-Preserving Machine Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Hunjae "Timothy", Clark, Corey
Format:	Preprint
Published:	2023
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

BlindFL: Segmented Federated Learning with Fully Homomorphic Encryption
by: Gronberg, Evan, 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)

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

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

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

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

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

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

Blind-Touch: Homomorphic Encryption-Based Distributed Neural Network Inference for Privacy-Preserving Fingerprint Authentication
by: Choi, Hyunmin, et al.
Published: (2023)

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

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

Evaluation of Privacy-aware Support Vector Machine (SVM) Learning using Homomorphic Encryption
by: Buchanan, William J, et al.
Published: (2025)

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

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

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

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

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

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

Privacy-Preserving Diffusion Model Using Homomorphic Encryption
by: Chen, Yaojian, 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)

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

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

A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks
by: Nikfam, Farzad, et al.
Published: (2023)

CryptOracle: A Modular Framework to Characterize Fully Homomorphic Encryption
by: Brynds, Cory, et al.
Published: (2025)

Training Machine Learning Models on Encrypted Data: A Privacy-Preserving Framework using Homomorphic Encryption
by: Marques, Alexandre, et al.
Published: (2026)

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

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

Experimental Evaluation of Post-Quantum Homomorphic Encryption for Privacy-Preserving I2I Communication in ITS
by: Mamun, Abdullah Al, et al.
Published: (2025)

HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption
by: Lee, Seewoo, et al.
Published: (2024)

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

A Privacy-Preserving Federated Learning Method with Homomorphic Encryption in Omics Data
by: Negoya, Yusaku, et al.
Published: (2025)

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)

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

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)

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

Privacy-Preserving Product-Quantized Approximate Nearest Neighbor Search Framework for Large-scale Datasets via A Hybrid of Fully Homomorphic Encryption and Trusted Execution Environment
by: Saeki, Shozo, et al.
Published: (2026)

Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning
by: Scheu-Hachtel, Linda, et al.
Published: (2025)