A watermark that seeds each token's sampling temperature from a hash of the previous h tokens is claimed to beat the Aaronson watermark under a 30% BERT paraphrase attack, based on a single ROC curve without error bars.
Guiding the release of safer e2e conversational ai through value sensitive design
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Temperature Matters: Enhancing Watermark Robustness Against Paraphrasing Attacks
A watermark that seeds each token's sampling temperature from a hash of the previous h tokens is claimed to beat the Aaronson watermark under a 30% BERT paraphrase attack, based on a single ROC curve without error bars.