GaussMark: A Practical Approach for Structural Watermarking of Language Models - researchr publication authors

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Adam Block, Alexander Rakhlin, Ayush Sekhari. GaussMark: A Practical Approach for Structural Watermarking of Language Models. In Forty-second International Conference on Machine Learning, ICML 2025, Vancouver, BC, Canada, July 13-19, 2025. OpenReview.net, 2025. [doi]

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