Cover Image

Towards Split Learning-based Privacy-Preserving Record Linkage

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zervas, Michail, Karakasidis, Alexandros
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Databases Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-Layer Privacy-Preserving Record Linkage with Clerical Review based on gradual information disclosure
by: Rohde, Florens, et al.
Published: (2024)

Accelerating Privacy-Preserving Medical Record Linkage: A Three-Party MPC Approach
by: Mağara, Şeyma Selcan, et al.
Published: (2024)

Privacy-Preserved Neural Graph Databases
by: Hu, Qi, et al.
Published: (2023)

Towards Privacy-Preserving Range Queries with Secure Learned Spatial Index over Encrypted Data
by: Wang, Zuan, et al.
Published: (2025)

Split-n-Chain: Privacy-Preserving Multi-Node Split Learning with Blockchain-Based Auditability
by: Sahani, Mukesh, et al.
Published: (2025)

Differentially Private Learned Indexes
by: Du, Jianzhang, et al.
Published: (2024)

Leveraging large language models for SQL behavior-based database intrusion detection
by: Shlezinger, Meital, et al.
Published: (2025)

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

TabularMark: Watermarking Tabular Datasets for Machine Learning
by: Zheng, Yihao, et al.
Published: (2024)

Enhancing Data Provenance and Model Transparency in Federated Learning Systems -- A Database Approach
by: Gu, Michael, et al.
Published: (2024)

User-Controlled Privacy-Preserving User Profile Data Sharing based on Blockchain
by: Shrestha, Ajay Kumar, et al.
Published: (2019)

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

Assessing the Impact of Image Dataset Features on Privacy-Preserving Machine Learning
by: Lange, Lucas, et al.
Published: (2024)

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

Information Leakage in Data Linkage
by: Christen, Peter, et al.
Published: (2025)

Privately Answering Queries on Skewed Data via Per Record Differential Privacy
by: Seeman, Jeremy, et al.
Published: (2023)

Differentially Private Synthetic Data Generation for Relational Databases
by: Alimohammadi, Kaveh, et al.
Published: (2024)

Supersonic OT: Fast Unconditionally Secure Oblivious Transfer
by: Abadi, Aydin, et al.
Published: (2024)

CryptoTrain: Fast Secure Training on Encrypted Dataset
by: Xue, Jiaqi, et al.
Published: (2024)

Systematic Assessment of Tabular Data Synthesis
by: Du, Yuntao, et al.
Published: (2024)

MongoDB Injection Query Classification Model using MongoDB Log files as Training Data
by: Perni, Shaunak, et al.
Published: (2026)

DPSQL+: A Differentially Private SQL Library with a Minimum Frequency Rule
by: Matsumoto, Tomoya, et al.
Published: (2026)

FERMI: Exploiting Relations for Membership Inference Against Tabular Diffusion Models
by: Mahyar, Abtin, et al.
Published: (2026)

PE-means: Improved Differentially Private $k$-means Clustering through Private Evolution
by: Humphries, Thomas, et al.
Published: (2026)

Differentially Private Selection using Smooth Sensitivity
by: Chaves, Iago, et al.
Published: (2025)

VeriX-Anon: A Multi-Layered Framework for Mathematically Verifiable Outsourced Target-Driven Data Anonymization
by: Daga, Miit, et al.
Published: (2026)

Preventing the Popular Item Embedding Based Attack in Federated Recommendations
by: Zhang, Jun, et al.
Published: (2025)

ResidualPlanner+: a scalable matrix mechanism for marginals and beyond
by: Xiao, Yingtai, et al.
Published: (2023)

Privacy Preserving Machine Learning for Electronic Health Records using Federated Learning and Differential Privacy
by: Ganadily, Naif A., et al.
Published: (2024)

Immersion and Invariance-based Coding for Privacy-Preserving Federated Learning
by: Hayati, Haleh, et al.
Published: (2024)

Privacy-Preserving Generative Modeling and Clinical Validation of Longitudinal Health Records for Chronic Disease
by: Ballyk, Benjamin D., et al.
Published: (2025)

Privacy-Preserving Data Linkage Across Private and Public Datasets for Collaborative Agriculture Research
by: Zafar, Osama, et al.
Published: (2024)

Agentic Privacy-Preserving Machine Learning
by: Zhang, Mengyu, et al.
Published: (2025)

Preserving Privacy and Security in Federated Learning
by: Nguyen, Truc, et al.
Published: (2022)

Federated Learning based Latent Factorization of Tensors for Privacy-Preserving QoS Prediction
by: Zhong, Shuai, et al.
Published: (2024)

SFPDML: Securer and Faster Privacy-Preserving Distributed Machine Learning based on MKTFHE
by: Wang, Hongxiao, et al.
Published: (2022)

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

Learning from Anonymized and Incomplete Tabular Data
by: Lange, Lucas, et al.
Published: (2026)

An Efficient Privacy-aware Split Learning Framework for Satellite Communications
by: Sun, Jianfei, et al.
Published: (2024)

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture
by: Fares, Mohamad Haj, et al.
Published: (2024)