Saved in:
| Main Authors: | Li, Xingchi, Liu, Xiaochi, Li, Guanxun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.06645 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adaptive Testing for Segmenting Watermarked Texts From Language Models
by: Xingchi Li, et al.
Published: (2025)
by: Xingchi Li, et al.
Published: (2025)
Segmenting Watermarked Texts From Language Models
by: Li, Xingchi, et al.
Published: (2024)
by: Li, Xingchi, et al.
Published: (2024)
On the Learnability of Watermarks for Language Models
by: Gu, Chenchen, et al.
Published: (2023)
by: Gu, Chenchen, et al.
Published: (2023)
Improving Detection of Watermarked Language Models
by: Bahri, Dara, et al.
Published: (2025)
by: Bahri, Dara, et al.
Published: (2025)
Necessary and Sufficient Watermark for Large Language Models
by: Takezawa, Yuki, et al.
Published: (2023)
by: Takezawa, Yuki, et al.
Published: (2023)
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts
by: Li, Xiang, et al.
Published: (2025)
by: Li, Xiang, et al.
Published: (2025)
Watermarking Language Models through Language Models
by: Dasgupta, Agnibh, et al.
Published: (2024)
by: Dasgupta, Agnibh, et al.
Published: (2024)
On Evaluating The Performance of Watermarked Machine-Generated Texts Under Adversarial Attacks
by: Liu, Zesen, et al.
Published: (2024)
by: Liu, Zesen, et al.
Published: (2024)
A Watermark for Large Language Models
by: Kirchenbauer, John, et al.
Published: (2023)
by: Kirchenbauer, John, et al.
Published: (2023)
On the Reliability of Watermarks for Large Language Models
by: Kirchenbauer, John, et al.
Published: (2023)
by: Kirchenbauer, John, et al.
Published: (2023)
Publicly-Detectable Watermarking for Language Models
by: Fairoze, Jaiden, et al.
Published: (2023)
by: Fairoze, Jaiden, et al.
Published: (2023)
Multi-Bit Distortion-Free Watermarking for Large Language Models
by: Boroujeny, Massieh Kordi, et al.
Published: (2024)
by: Boroujeny, Massieh Kordi, et al.
Published: (2024)
Debiasing Watermarks for Large Language Models via Maximal Coupling
by: Xie, Yangxinyu, et al.
Published: (2024)
by: Xie, Yangxinyu, et al.
Published: (2024)
Topic-Based Watermarks for Large Language Models
by: Nemecek, Alexander, et al.
Published: (2024)
by: Nemecek, Alexander, et al.
Published: (2024)
Watermarking Language Models with Error Correcting Codes
by: Chao, Patrick, et al.
Published: (2024)
by: Chao, Patrick, et al.
Published: (2024)
A Watermark for Black-Box Language Models
by: Bahri, Dara, et al.
Published: (2024)
by: Bahri, Dara, et al.
Published: (2024)
Robust Distortion-free Watermarks for Language Models
by: Kuditipudi, Rohith, et al.
Published: (2023)
by: Kuditipudi, Rohith, et al.
Published: (2023)
Robust Detection of Watermarks for Large Language Models Under Human Edits
by: Li, Xiang, et al.
Published: (2024)
by: Li, Xiang, et al.
Published: (2024)
Watermarks for Embeddings-as-a-Service Large Language Models
by: Shetty, Anudeex
Published: (2025)
by: Shetty, Anudeex
Published: (2025)
Data Efficient Evaluation of Large Language Models and Text-to-Image Models via Adaptive Sampling
by: Xu, Cong, et al.
Published: (2024)
by: Xu, Cong, et al.
Published: (2024)
Revealing Weaknesses in Text Watermarking Through Self-Information Rewrite Attacks
by: Cheng, Yixin, et al.
Published: (2025)
by: Cheng, Yixin, et al.
Published: (2025)
Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models
by: Zhang, Hanlin, et al.
Published: (2023)
by: Zhang, Hanlin, et al.
Published: (2023)
Watermarking Makes Language Models Radioactive
by: Sander, Tom, et al.
Published: (2024)
by: Sander, Tom, et al.
Published: (2024)
Evaluating the Robustness and Accuracy of Text Watermarking Under Real-World Cross-Lingual Manipulations
by: Ghanim, Mansour Al, et al.
Published: (2025)
by: Ghanim, Mansour Al, et al.
Published: (2025)
Robust Data Watermarking in Language Models by Injecting Fictitious Knowledge
by: Cui, Xinyue, et al.
Published: (2025)
by: Cui, Xinyue, et al.
Published: (2025)
Optimal Detection for Language Watermarks with Pseudorandom Collision
by: Cai, T. Tony, et al.
Published: (2025)
by: Cai, T. Tony, et al.
Published: (2025)
Adaptive Text Watermark for Large Language Models
by: Liu, Yepeng, et al.
Published: (2024)
by: Liu, Yepeng, et al.
Published: (2024)
Duwak: Dual Watermarks in Large Language Models
by: Zhu, Chaoyi, et al.
Published: (2024)
by: Zhu, Chaoyi, et al.
Published: (2024)
From Insight to Exploit: Leveraging LLM Collaboration for Adaptive Adversarial Text Generation
by: Sultana, Najrin, et al.
Published: (2025)
by: Sultana, Najrin, et al.
Published: (2025)
TextSeal: A Localized LLM Watermark for Provenance & Distillation Protection
by: Sander, Tom, et al.
Published: (2026)
by: Sander, Tom, et al.
Published: (2026)
A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models
by: Wu, Yihan, et al.
Published: (2023)
by: Wu, Yihan, et al.
Published: (2023)
AGGC: Adaptive Group Gradient Clipping for Stabilizing Large Language Model Training
by: Li, Zhiyuan, et al.
Published: (2026)
by: Li, Zhiyuan, et al.
Published: (2026)
AliMark: Enhancing Robustness of Sentence-Level Watermarking Against Text Paraphrasing
by: Li, Yuexin, et al.
Published: (2026)
by: Li, Yuexin, et al.
Published: (2026)
Independence Tests for Language Models
by: Zhu, Sally, et al.
Published: (2025)
by: Zhu, Sally, et al.
Published: (2025)
TextLap: Customizing Language Models for Text-to-Layout Planning
by: Chen, Jian, et al.
Published: (2024)
by: Chen, Jian, et al.
Published: (2024)
Synthetic Text Generation for Training Large Language Models via Gradient Matching
by: Nguyen, Dang, et al.
Published: (2025)
by: Nguyen, Dang, et al.
Published: (2025)
Downstream Trade-offs of a Family of Text Watermarks
by: Ajith, Anirudh, et al.
Published: (2023)
by: Ajith, Anirudh, et al.
Published: (2023)
Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models
by: Huo, Mingjia, et al.
Published: (2024)
by: Huo, Mingjia, et al.
Published: (2024)
Model-Agnostic Sentiment Distribution Stability Analysis for Robust LLM-Generated Texts Detection
by: Li, Siyuan, et al.
Published: (2025)
by: Li, Siyuan, et al.
Published: (2025)
Toward Adaptive Reasoning in Large Language Models with Thought Rollback
by: Chen, Sijia, et al.
Published: (2024)
by: Chen, Sijia, et al.
Published: (2024)
Similar Items
-
Adaptive Testing for Segmenting Watermarked Texts From Language Models
by: Xingchi Li, et al.
Published: (2025) -
Segmenting Watermarked Texts From Language Models
by: Li, Xingchi, et al.
Published: (2024) -
On the Learnability of Watermarks for Language Models
by: Gu, Chenchen, et al.
Published: (2023) -
Improving Detection of Watermarked Language Models
by: Bahri, Dara, et al.
Published: (2025) -
Necessary and Sufficient Watermark for Large Language Models
by: Takezawa, Yuki, et al.
Published: (2023)