We propose SEEK, a novel watermarking method for large language models that simultaneously improves robustness against both scrubbing and spoofing attacks, achieving a Pareto-optimal balance superior to existing approaches.

We propose a novel code watermarking framework that learn from Abstract Syntax Trees of code to identify where and how to insert watermarks.