3 papers
cs.CR2024
Accelerating Privacy-Preserving Medical Record Linkage: A Three-Party MPC Approach
Şeyma Selcan Mağara, Noah Dietrich, Ali Burak Ünal +1
Record linkage is a crucial concept for integrating data from multiple sources, particularly when datasets lack exact identifiers, and it has diverse applications in real-world dat…
cs.LG2024
Privacy-Preserving Federated Unsupervised Domain Adaptation for Regression on Small-Scale and High-Dimensional Biological Data
Cem Ata Baykara, Ali Burak Ünal, Nico Pfeifer +1
Machine learning models often struggle with generalization in small, heterogeneous datasets due to domain shifts caused by variations in data collection and population differences.…
cs.LG2023
Robust Representation Learning for Privacy-Preserving Machine Learning: A Multi-Objective Autoencoder Approach
Sofiane Ouaari, Ali Burak Ünal, Mete Akgün +1
Several domains increasingly rely on machine learning in their applications. The resulting heavy dependence on data has led to the emergence of various laws and regulations around…