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Every Bit, Everywhere, All at Once: A Binomial Multibit LLM Watermark
Thibaud Gloaguen, Robin Staab, Mark Vero +1
With LLM watermarking already being deployed commercially, practical applications increasingly require multibit watermarks that encode more complex payloads, such as user IDs or ti…
LLM Fingerprinting via Semantically Conditioned Watermarks
Thibaud Gloaguen, Robin Staab, Nikola JovanoviÄ +1
Most LLM fingerprinting methods teach the model to respond to a few fixed queries with predefined atypical responses (keys). This memorization often does not survive common deploym…
A Unified Framework for LLM Watermarks
Thibaud Gloaguen, Robin Staab, Nikola JovanoviÄ +1
LLM watermarks allow tracing AI-generated texts by inserting a detectable signal into their generated content. Recent works have proposed a wide range of watermarking algorithms, e…
Discovering Spoofing Attempts on Language Model Watermarks
Thibaud Gloaguen, Nikola JovanoviÄ, Robin Staab +1
LLM watermarks stand out as a promising way to attribute ownership of LLM-generated text. One threat to watermark credibility comes from spoofing attacks, where an unauthorized thi…
Black-Box Detection of Language Model Watermarks
Thibaud Gloaguen, Nikola JovanoviÄ, Robin Staab +1
Watermarking has emerged as a promising way to detect LLM-generated text, by augmenting LLM generations with later detectable signals. Recent work has proposed multiple families of…
Towards Watermarking of Open-Source LLMs
Thibaud Gloaguen, Nikola JovanoviÄ, Robin Staab +1
While watermarks for closed LLMs have matured and have been included in large-scale deployments, these methods are not applicable to open-source models, which allow users full cont…