PURA: Provably Unbiased and Robust Multi-Bit Watermarking for AI-Generated Text Attribution
cs.CR
Submitted: 2026-08-23
Updated: 2026-08-25
Comments: Accepted to ACM CCS 2026
Code: https://github.com/anshigaoa/PURA
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- MC$^2$Mark: Distortion-Free Multi-Bit Watermarking for Long Messages
- ArcMark: Distortion-Free Multi-Byte LLM Watermark via Optimal Transport
- The Llama 3 Herd of Models
- Pointer Sentinel Mixture Models
- GPT-4 Technical Report
- Gemma 2: Improving Open Language Models at a Practical Size
- Llama 2: Open Foundation and Fine-Tuned Chat Models
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
- Qwen2 Technical Report
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