activity
20242026
most citedCan I trust my fake data -- A comprehensive quality assessment framework for synthetic tabular data in healthcare

59 citations · 62 across the 10 of their papers we have counts for

collaborators

11 papers

cond-mat.mes-hall2026

Ultrastrong Coupling and Coherent Dynamics in a Gate-Tunable Transmon Qubit

I. Casal Iglesias, F. J. Matute-Cañadas, G. O. Steffensen +10

Ultrastrong light-matter coupling (USC) gives access to exotic quantum phenomena and promises faster quantum gates, yet coherent time-domain control in this regime remains largely…

cond-mat.mes-hall2025

Anomalous metallic phase and reduced critical current in superconducting nanowires due to inverse proximity effect

G. M. Oliveira, G. O. Steffensen, I. Casal Iglesias +7

Superconductor-to-metal transitions (SMTs) are key probes of mesoscopic superconductivity, but their interpretation can be complicated by device geometry and measurement conditions…

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.LG2025★ 1 cited

Opinion: Revisiting synthetic data classifications from a privacy perspective

Vibeke Binz Vallevik, Serena Elizabeth Marshall, Aleksandar Babic +1

Synthetic data is emerging as a cost-effective solution necessary to meet the increasing data demands of AI development, created either from existing knowledge or derived from real…

cs.SE2024

Testing Medical Rules Web Services in Practice

Christoph Laaber, Shaukat Ali, Thomas Schwitalla +1

The Cancer Registry of Norway (CRN) collects and processes cancer-related data for patients in Norway. For this, it employs a sociotechnical software system that evolves with chang…

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.SE2024★ 1 cited

LLMs in the Heart of Differential Testing: A Case Study on a Medical Rule Engine

Erblin Isaku, Christoph Laaber, Hassan Sartaj +3

The Cancer Registry of Norway (CRN) uses an automated cancer registration support system (CaReSS) to support core cancer registry activities, i.e, data capture, data curation, and…

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…