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Victor Reis

2 accepted papers

2026

Differentially Private Synthetic Tabular Data via Private Evolution

ICML 2026poster

This paper investigates the problem of generating synthetic tabular data with differential privacy (DP) guarantees, enabling data sharing in sensitive domains. Despite extensive study, state-of-the-art methods often focus on minimizing low-order marginal query errors and overlook the challenges pose…

Cited by 0SourceScholar
2025

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation

NeurIPS 2025poster

Differentially private (DP) synthetic data generation is a promising technique for utilizing private datasets that otherwise cannot be exposed for model training or other analytics. While much research literature has focused on generating private unstructured text and image data, in enterprise setti…

Cited by 0SourcecodeScholar