PP-STAT: An Efficient Privacy-Preserving Statistical Analysis Framework using Homomorphic Encryption
Fuente:
arXiv
Saved in:
| Main Author: | Choi, Hyunmin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Blind-Touch: Homomorphic Encryption-Based Distributed Neural Network Inference for Privacy-Preserving Fingerprint Authentication
by: Choi, Hyunmin, et al.
Published: (2023)
by: Choi, Hyunmin, et al.
Published: (2023)
Blind-Match: Efficient Homomorphic Encryption-Based 1:N Matching for Privacy-Preserving Biometric Identification
by: Choi, Hyunmin, et al.
Published: (2024)
by: Choi, Hyunmin, et al.
Published: (2024)
Efficient and Privacy-Preserving Federated Learning based on Full Homomorphic Encryption
by: Guo, Yuqi, et al.
Published: (2024)
by: Guo, Yuqi, et al.
Published: (2024)
Towards Privacy-Preserving Federated Learning using Hybrid Homomorphic Encryption
by: Costa, Ivan, et al.
Published: (2026)
by: Costa, Ivan, et al.
Published: (2026)
Efficient Privacy-Preserving Sparse Matrix-Vector Multiplication Using Homomorphic Encryption
by: Gao, Yang, et al.
Published: (2026)
by: Gao, Yang, et al.
Published: (2026)
Blind Evaluation Framework for Fully Homomorphic Encryption and Privacy-Preserving Machine Learning
by: Lee, Hunjae "Timothy", et al.
Published: (2023)
by: Lee, Hunjae "Timothy", et al.
Published: (2023)
Efficient Privacy-Preserving KAN Inference Using Homomorphic Encryption
by: Lai, Zhizheng, et al.
Published: (2024)
by: Lai, Zhizheng, et al.
Published: (2024)
Efficient Privacy-Preserving Cross-Silo Federated Learning with Multi-Key Homomorphic Encryption
by: Omar, Abdullah Al, et al.
Published: (2025)
by: Omar, Abdullah Al, et al.
Published: (2025)
Privacy-Preserving Diffusion Model Using Homomorphic Encryption
by: Chen, Yaojian, et al.
Published: (2024)
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)
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)
by: Chowdhury, Moontaha Nishat, et al.
Published: (2025)
A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks
by: Nikfam, Farzad, et al.
Published: (2023)
by: Nikfam, Farzad, et al.
Published: (2023)
UniHENN: Designing Faster and More Versatile Homomorphic Encryption-based CNNs without im2col
by: Choi, Hyunmin, et al.
Published: (2024)
by: Choi, Hyunmin, et al.
Published: (2024)
Secure Multi-Key Homomorphic Encryption with Application to Privacy-Preserving Federated Learning
by: Wu, Jiahui, et al.
Published: (2025)
by: Wu, Jiahui, et al.
Published: (2025)
Activate Me!: Designing Efficient Activation Functions for Privacy-Preserving Machine Learning with Fully Homomorphic Encryption
by: Njungle, Nges Brian, et al.
Published: (2025)
by: Njungle, Nges Brian, 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)
by: Nguyen, Khoa, et al.
Published: (2024)
Blockchain-Integrated Privacy-Preserving Medical Insurance Claim Processing Using Homomorphic Encryption
by: Mamoria, Diya, et al.
Published: (2025)
by: Mamoria, Diya, et al.
Published: (2025)
Outsourced Privacy-Preserving Feature Selection Based on Fully Homomorphic Encryption
by: Wakiyama, Koki, et al.
Published: (2025)
by: Wakiyama, Koki, et al.
Published: (2025)
GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic Encryption
by: Frimpong, Eugene, et al.
Published: (2024)
by: Frimpong, Eugene, et al.
Published: (2024)
FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System
by: Jin, Weizhao, et al.
Published: (2023)
by: Jin, Weizhao, et al.
Published: (2023)
Privacy-Preserving Cyberattack Detection in Blockchain-Based IoT Systems Using AI and Homomorphic Encryption
by: Manh, Bui Duc, et al.
Published: (2024)
by: Manh, Bui Duc, et al.
Published: (2024)
A Privacy-Preserving Federated Learning Method with Homomorphic Encryption in Omics Data
by: Negoya, Yusaku, et al.
Published: (2025)
by: Negoya, Yusaku, et al.
Published: (2025)
Multimodal Privacy-Preserving Entity Resolution with Fully Homomorphic Encryption
by: Roy, Susim, et al.
Published: (2026)
by: Roy, Susim, et al.
Published: (2026)
Experimental Evaluation of Post-Quantum Homomorphic Encryption for Privacy-Preserving I2I Communication in ITS
by: Mamun, Abdullah Al, et al.
Published: (2025)
by: Mamun, Abdullah Al, et al.
Published: (2025)
HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption
by: Lee, Seewoo, et al.
Published: (2024)
by: Lee, Seewoo, et al.
Published: (2024)
Training Machine Learning Models on Encrypted Data: A Privacy-Preserving Framework using Homomorphic Encryption
by: Marques, Alexandre, et al.
Published: (2026)
by: Marques, Alexandre, et al.
Published: (2026)
Homomorphic Encryption: An Analysis of its Applications in Searchable Encryption
by: Amorim, Ivone, et al.
Published: (2023)
by: Amorim, Ivone, et al.
Published: (2023)
Side Channel Analysis in Homomorphic Encryption
by: Ghaleb, Baraq, et al.
Published: (2025)
by: Ghaleb, Baraq, et al.
Published: (2025)
Homomorphic Encryption-Enabled Federated Learning for Privacy-Preserving Intrusion Detection in Resource-Constrained IoV Networks
by: Manh, Bui Duc, et al.
Published: (2024)
by: Manh, Bui Duc, et al.
Published: (2024)
Design and Optimization of Cloud Native Homomorphic Encryption Workflows for Privacy-Preserving ML Inference
by: Bollikonda, Tejaswini
Published: (2025)
by: Bollikonda, Tejaswini
Published: (2025)
Evaluation of Privacy-aware Support Vector Machine (SVM) Learning using Homomorphic Encryption
by: Buchanan, William J, et al.
Published: (2025)
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)
by: Chan, Yu Hin, et al.
Published: (2025)
Privacy-preserving Federated Learning based on Multi-key Homomorphic Encryption
by: Ma, Jing, et al.
Published: (2021)
by: Ma, Jing, et al.
Published: (2021)
Comparison of Fully Homomorphic Encryption and Garbled Circuit Techniques in Privacy-Preserving Machine Learning Inference
by: Cheerla, Kalyan, et al.
Published: (2025)
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)
by: Rahulamathavan, Yogachandran, et al.
Published: (2023)
Privacy-Preserving Data Processing in Cloud : From Homomorphic Encryption to Federated Analytics
by: Sarraf, Gaurav, et al.
Published: (2026)
by: Sarraf, Gaurav, et al.
Published: (2026)
Efficient Arithmetic-and-Comparison Homomorphic Encryption with Space Switching
by: Wahyudi, Erwin Eko, et al.
Published: (2026)
by: Wahyudi, Erwin Eko, 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)
by: Jiang, Siyang, et al.
Published: (2024)
HEIR: A Universal Compiler for Homomorphic Encryption
by: Ali, Asra, et al.
Published: (2025)
by: Ali, Asra, et al.
Published: (2025)
PrivTuner with Homomorphic Encryption and LoRA: A P3EFT Scheme for Privacy-Preserving Parameter-Efficient Fine-Tuning of AI Foundation Models
by: Li, Yang, et al.
Published: (2024)
by: Li, Yang, et al.
Published: (2024)
Similar Items
-
Blind-Touch: Homomorphic Encryption-Based Distributed Neural Network Inference for Privacy-Preserving Fingerprint Authentication
by: Choi, Hyunmin, et al.
Published: (2023) -
Blind-Match: Efficient Homomorphic Encryption-Based 1:N Matching for Privacy-Preserving Biometric Identification
by: Choi, Hyunmin, et al.
Published: (2024) -
Efficient and Privacy-Preserving Federated Learning based on Full Homomorphic Encryption
by: Guo, Yuqi, et al.
Published: (2024) -
Towards Privacy-Preserving Federated Learning using Hybrid Homomorphic Encryption
by: Costa, Ivan, et al.
Published: (2026) -
Efficient Privacy-Preserving Sparse Matrix-Vector Multiplication Using Homomorphic Encryption
by: Gao, Yang, et al.
Published: (2026)