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arxiv_cs_lg · Jul 8, 2026 · paper

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Where to Intervene? Benchmarking Fairness-Aware Learning on Differentially Private Synthetic Tabular Data

arxiv.orgJul 8, 2026
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Machine learning models are increasingly deployed in high-stakes domains, raising concerns about both privacy and fairness. Differential Privacy (DP) has become a gold standard for privacy-preserving data analysis, wh...

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Where to Intervene? Benchmarking Fairness-Aware Learning on Differentially Private Synthetic Tabular Data

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