Cover Image

A Privacy-Preserving Data Collection Method for Diversified Statistical Analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jiang, Hao, Zhou, Quan, Zhao, Dongdong, Yang, Shangshang, Luo, Wenjian, Zhang, Xingyi
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Efficient and Privacy-Preserving Distribution Statistics Analytics on Mobile Spatial Data
by: Ren, Xuhao, et al.
Published: (2026)

Privacy-Preserving Redaction of Diagnosis Data through Source Code Analysis
by: Zhou, Lixi, et al.
Published: (2024)

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

Privacy-Preserving Statistical Data Generation: Application to Sepsis Detection
by: Macias-Fassio, Eric, et al.
Published: (2024)

Privacy-Preserving ECG Data Analysis with Differential Privacy: A Literature Review and A Case Study
by: Ghazarian, Arin, et al.
Published: (2024)

PrivacyGo: Privacy-Preserving Ad Measurement with Multidimensional Intersection
by: Du, Jian, et al.
Published: (2025)

VPAS: Publicly Verifiable and Privacy-Preserving Aggregate Statistics on Distributed Datasets
by: Alghazwi, Mohammed, et al.
Published: (2024)

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

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

ZK-SERIES: Privacy-Preserving Authentication using Temporal Biometric Data
by: Reijsbergen, Daniel, et al.
Published: (2025)

Probabilistic Counters for Privacy Preserving Data Aggregation
by: Bojko, Dominik, et al.
Published: (2020)

Privacy-Preserving Screening for Record Linkage
by: Huang, Chenyu, et al.
Published: (2026)

A Review of Privacy Metrics for Privacy-Preserving Synthetic Data Generation
by: Trudslev, Frederik Marinus, et al.
Published: (2025)

A Privacy-Preserving Localization Scheme with Node Selection in Mobile Networks
by: Xie, Liangbo, et al.
Published: (2026)

A Note on Efficient Privacy-Preserving Similarity Search for Encrypted Vectors
by: Zhao, Dongfang
Published: (2025)

Continual Pretraining on Encrypted Synthetic Data for Privacy-Preserving LLMs
by: Liu, Honghao, et al.
Published: (2026)

PROVGEN: A Privacy-Preserving Approach for Outcome Validation in Genomic Research
by: Jiang, Yuzhou, et al.
Published: (2022)

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

Secure and Privacy-Preserving Authentication for Data Subject Rights Enforcement
by: Hansen, Malte, et al.
Published: (2024)

Privacy-Preserving Data Management using Blockchains
by: Kwakye, Michael Mireku
Published: (2024)

FedRW: Efficient Privacy-Preserving Data Reweighting for Enhancing Federated Learning of Language Models
by: Ye, Pukang, et al.
Published: (2025)

Generative AI for Secure and Privacy-Preserving Mobile Crowdsensing
by: Yang, Yaoqi, et al.
Published: (2024)

BioDeepHash: Mapping Biometrics into a Stable Code
by: Song, Baogang, et al.
Published: (2024)

Scalable and Privacy-Preserving Synthetic Data Generation on Decentralised Web
by: Ramesh, Vishal, et al.
Published: (2023)

Privacy Preserving Reinforcement Learning for Population Processes
by: Yang-Zhao, Samuel, et al.
Published: (2024)

Privacy-Preserving Federated Learning Scheme with Mitigating Model Poisoning Attacks: Vulnerabilities and Countermeasures
by: Wu, Jiahui, et al.
Published: (2025)

Privacy-Preserving Data Aggregation Techniques for Enhanced Efficiency and Security in Wireless Sensor Networks: A Comprehensive Analysis and Evaluation
by: Rastogi, Ayush, et al.
Published: (2024)

Privacy-Preserving, Dropout-Resilient Aggregation in Decentralized Learning
by: Ghavamipour, Ali Reza, et al.
Published: (2024)

Privacy-Preserving Decentralized Federated Learning via Explainable Adaptive Differential Privacy
by: Piran, Fardin Jalil, et al.
Published: (2025)

Privacy-Preserving Federated Unlearning with Certified Client Removal
by: Liu, Ziyao, et al.
Published: (2024)

Analyzing Privacy Implications of Data Collection in Android Automotive OS
by: Gözübüyük, Bulut, et al.
Published: (2024)

Volley Revolver: A Novel Matrix-Encoding Method for Privacy-Preserving Deep Learning (Inference++)
by: Chiang, John
Published: (2025)

Privacy-Preserving Hamming Distance Computation with Property-Preserving Hashing
by: Zhao, Dongfang
Published: (2025)

Privacy-Preserving Inconsistency Measurement
by: Corea, Carl, et al.
Published: (2025)

Verifiable Privacy-Preserving Computing
by: Bontekoe, Tariq, et al.
Published: (2023)

Data Privacy Preservation on the Internet of Things
by: Sen, Jaydip, et al.
Published: (2023)

FedCAPrivacy: Privacy-Preserving Heterogeneous Federated Learning with Anonymous Adaptive Clustering
by: Wei, Yunan, et al.
Published: (2025)

CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference
by: Luo, Jinglong, et al.
Published: (2024)

Privacy-Preserving Healthcare Data in IoT: A Synergistic Approach with Deep Learning and Blockchain
by: Bezanjani, Behnam Rezaei, et al.
Published: (2025)

Bridging Local and Federated Data Normalization in Federated Learning: A Privacy-Preserving Approach
by: Coşğun, Melih, et al.
Published: (2025)