TAB-DRW embeds detectable watermarks in the frequency domain of normalized synthetic tabular data via DFT and rank-based pseudorandom bits, achieving robustness to attacks while preserving fidelity and supporting mixed data types.
Sakar and Yomi Kastro
2 Pith papers cite this work. Polarity classification is still indexing.
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Multistage defer trees chain sparse decision trees with deferral to match complex ensemble accuracy while routing most samples through one or few interpretable trees.
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Robust Spectral Watermark for Synthetic Tabular Data
TAB-DRW embeds detectable watermarks in the frequency domain of normalized synthetic tabular data via DFT and rank-based pseudorandom bits, achieving robustness to attacks while preserving fidelity and supporting mixed data types.
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Multistage Defer Trees for Hybrid Interpretability: If at First You Can't Succeed, Tree Again
Multistage defer trees chain sparse decision trees with deferral to match complex ensemble accuracy while routing most samples through one or few interpretable trees.