Uploaded July 2025 | Updated September 2026, 1 week ago

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Synthetic data is instrumental to training and scaling AI without exposing real information, but tracking its misuse is challenging. To address this, IBM researcher Pin-Yu Chen presents TabWak—a new watermarking technique designed to help enterprises safeguard their synthetic tabular data.

Explore how we extended multimodal watermarking into the process of generating tabular data here: ibm.co/4kqfMBt

Full paper and methodology here: research.ibm.com/publications/tabwak-a-watermark-for-tabular-diffusion-models

#ai #aiethics #datagovernance