most citedCan I trust my fake data -- A comprehensive quality assessment framework for synthetic tabular data in healthcare

59 citations · 60 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CR2025

Federated Survival Analysis with Node-Level Differential Privacy: Private Kaplan-Meier Curves

Narasimha Raghavan Veeraragavan, Jan Franz Nygård

We investigate how to calculate Kaplan-Meier survival curves across multiple health-care jurisdictions while protecting patient privacy with node-level differential privacy. Each s…

cs.CR2025

Can One Safety Loop Guard Them All? Agentic Guard Rails for Federated Computing

Narasimha Raghavan Veeraragavan, Jan Franz Nygård

We propose Guardian-FC, a novel two-layer framework for privacy preserving federated computing that unifies safety enforcement across diverse privacy preserving mechanisms, includi…

cs.CR2024

A Multiparty Homomorphic Encryption Approach to Confidential Federated Kaplan Meier Survival Analysis

Narasimha Raghavan Veeraragavan, Svetlana Boudko, Jan Franz Nygård

The proliferation of real-world health data enables multi-institutional survival studies, yet privacy constraints preclude centralizing sensitive records. We present a privacy-pres…

cs.SE2024

Quantum Neural Network Classifier for Cancer Registry System Testing: A Feasibility Study

Xinyi Wang, Shaukat Ali, Paolo Arcaini +2

The Cancer Registry of Norway (CRN) is a part of the Norwegian Institute of Public Health (NIPH) and is tasked with producing statistics on cancer among the Norwegian population. F…

cs.DB2024★ 1 cited

Permissioned Blockchain-based Framework for Ranking Synthetic Data Generators

Narasimha Raghavan Veeraragavan, Mohammad Hossein Tabatabaei, Severin Elvatun +3

Synthetic data generation is increasingly recognized as a crucial solution to address data related challenges such as scarcity, bias, and privacy concerns. As synthetic data prolif…

cs.LG2024★ 59 cited

Can I trust my fake data -- A comprehensive quality assessment framework for synthetic tabular data in healthcare

Vibeke Binz Vallevik, Aleksandar Babic, Serena Elizabeth Marshall +7

Ensuring safe adoption of AI tools in healthcare hinges on access to sufficient data for training, testing and validation. In response to privacy concerns and regulatory requiremen…