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2:31
YouTube
IBM Research
How an invisible watermark can keep tabs on tabular data for AI
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 from costly misuse and post-editing attacks. Explore ...
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