No Free Lunch in LLM Watermarking: Trade-offs in Watermarking Design Choices
- URL: http://arxiv.org/abs/2402.16187v2
- Date: Sat, 25 May 2024 20:51:49 GMT
- Title: No Free Lunch in LLM Watermarking: Trade-offs in Watermarking Design Choices
- Authors: Qi Pang, Shengyuan Hu, Wenting Zheng, Virginia Smith,
- Abstract summary: We show that common design choices in LLM watermarking schemes make the resulting systems surprisingly susceptible to attack.
We propose guidelines and defenses for LLM watermarking in practice.
- Score: 20.20770405297239
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Advances in generative models have made it possible for AI-generated text, code, and images to mirror human-generated content in many applications. Watermarking, a technique that aims to embed information in the output of a model to verify its source, is useful for mitigating the misuse of such AI-generated content. However, we show that common design choices in LLM watermarking schemes make the resulting systems surprisingly susceptible to attack -- leading to fundamental trade-offs in robustness, utility, and usability. To navigate these trade-offs, we rigorously study a set of simple yet effective attacks on common watermarking systems, and propose guidelines and defenses for LLM watermarking in practice.
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