Auditing the Privacy of Synthetic Gene Expression Data: A Unified Weighted-Distance Framework for No-Box Membership Inference
cs.CR
Submitted: 2026-10-02
Updated: 2026-10-02
Code: https://github.com/OwenTucker/ELSA_REDSIGMA
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- Privacy Auditing Synthetic Data Release through Local Likelihood Attacks
- "What do you want from theory alone?" Experimenting with Tight Auditing of Differentially Private Synthetic Data Generation
- UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
- Detecting Pretraining Data from Large Language Models
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