Optimizing watermarks for large language models
cs.CR, cs.AI, cs.CL
Submitted: 2023-12-28
Updated: 2026-09-23
Comments: 19 pages; publication ICML '24
Journal ref: Proceedings of the 41st International Conference on Machine Learning (ICML), PMLR 235:53251-53269, 2024
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy
- Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations
- On the Learnability of Watermarks for Language Models
- Unbiased Watermark for Large Language Models
- Evading Watermark based Detection of AI-Generated Content
- Downstream Trade-offs of a Family of Text Watermarks
- A Watermark for Large Language Models
- On the Reliability of Watermarks for Large Language Models
- Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense
- Undetectable Watermarks for Language Models
- Robust Distortion-free Watermarks for Language Models
- Who Wrote this Code? Watermarking for Code Generation
- Watermarking LLMs with Weight Quantization
- Improving the Generation Quality of Watermarked Large Language Models via Word Importance Scoring
- Can AI-Generated Text be Reliably Detected?
- An Unforgeable Publicly Verifiable Watermark for Large Language Models
- Red Teaming Language Model Detectors with Language Models
- A Semantic Invariant Robust Watermark for Large Language Models
- Baselines for Identifying Watermarked Large Language Models
- WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models
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