4 papers
A normal-inverse-Wishart (NIW) Bayesian synthesizer for multivariate normal data with application to polygenic risk scores
Rasmus Rask Kragh Jørgensen, Anne Krogh Nøhr, Jan Reiter Sørensen +2
Bayesian synthesis, which generates synthetic data by sampling from the posterior predictive distribution, is a popular approach for privatizing sensitive personal data. However, h…
Bounds on the Posterior-to-Prior Ratios for Inclusion Belief under Bounded Differential Privacy
Jan Reiter Sørensen, Heidi Søgaard Christensen, Rasmus Rask Kragh Jørgensen +1
Differential privacy has become the standard for generating privacy-protected data releases. However, differential privacy does not translate intuitively to disclosure risk. In par…
VAE-MS: An Asymmetric Variational Autoencoder for Mutational Signature Extraction
Ida Egendal, Rasmus Froberg Brøndum, Dan J Woodcock +2
Mutational signature analysis has emerged as a powerful method for uncovering the underlying biological processes driving cancer development. However, the signature extraction proc…
A Review of Privacy Metrics for Privacy-Preserving Synthetic Data Generation
Frederik Marinus Trudslev, Matteo Lissandrini, Juan Manuel Rodriguez +2
Privacy Preserving Synthetic Data Generation (PP-SDG) has emerged to produce synthetic datasets from personal data while maintaining privacy and utility. Differential privacy (DP)…