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arxiv:2403.17983

Is Watermarking LLM-Generated Code Robust?

Published on Mar 24
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Abstract

We present the first study of the robustness of existing watermarking techniques on Python code generated by large language models. Although existing works showed that watermarking can be robust for natural language, we show that it is easy to remove these watermarks on code by semantic-preserving transformations.

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