Robust Multi-bit Text Watermark with LLM-based Paraphrasers
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Xiaojun, Jia, Jinghan, Yao, Yuanshun, Liu, Yang, Li, Hang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning to Watermark LLM-generated Text via Reinforcement Learning
by: Xu, Xiaojun, et al.
Published: (2024)
by: Xu, Xiaojun, et al.
Published: (2024)
Large Language Model Unlearning
by: Yao, Yuanshun, et al.
Published: (2023)
by: Yao, Yuanshun, et al.
Published: (2023)
SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness
by: Huo, Jiahao, et al.
Published: (2026)
by: Huo, Jiahao, 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)
ACC-Collab: An Actor-Critic Approach to Multi-Agent LLM Collaboration
by: Estornell, Andrew, et al.
Published: (2024)
by: Estornell, Andrew, et al.
Published: (2024)
OptMark: Robust Multi-bit Diffusion Watermarking via Inference Time Optimization
by: Xing, Jiazheng, et al.
Published: (2025)
by: Xing, Jiazheng, et al.
Published: (2025)
Temperature Matters: Enhancing Watermark Robustness Against Paraphrasing Attacks
by: Idrissi, Badr Youbi, et al.
Published: (2025)
by: Idrissi, Badr Youbi, et al.
Published: (2025)
On the Cause of Unfairness: A Training Sample Perspective
by: Yao, Yuanshun, et al.
Published: (2023)
by: Yao, Yuanshun, et al.
Published: (2023)
MirrorMark: Generalizable Mirrored Sampling for Multi-bit LLM Watermarking
by: Jiang, Ya, et al.
Published: (2026)
by: Jiang, Ya, et al.
Published: (2026)
DERMARK: A Dynamic, Efficient and Robust Multi-bit Watermark for Large Language Models
by: Lin, Qihao, et al.
Published: (2025)
by: Lin, Qihao, et al.
Published: (2025)
Explanation as a Watermark: Towards Harmless and Multi-bit Model Ownership Verification via Watermarking Feature Attribution
by: Shao, Shuo, et al.
Published: (2024)
by: Shao, Shuo, et al.
Published: (2024)
Spotting AI's Touch: Identifying LLM-Paraphrased Spans in Text
by: Li, Yafu, et al.
Published: (2024)
by: Li, Yafu, et al.
Published: (2024)
WGLE:Backdoor-free and Multi-bit Black-box Watermarking for Graph Neural Networks
by: Li, Tingzhi, et al.
Published: (2025)
by: Li, Tingzhi, et al.
Published: (2025)
Toward Optimal LLM Alignments Using Two-Player Games
by: Zheng, Rui, et al.
Published: (2024)
by: Zheng, Rui, et al.
Published: (2024)
XMark: Reliable Multi-Bit Watermarking for LLM-Generated Texts
by: Xu, Jiahao, et al.
Published: (2026)
by: Xu, Jiahao, et al.
Published: (2026)
The Brittleness of AI-Generated Image Watermarking Techniques: Examining Their Robustness Against Visual Paraphrasing Attacks
by: Barman, Niyar R, et al.
Published: (2024)
by: Barman, Niyar R, et al.
Published: (2024)
StealthInk: A Multi-bit and Stealthy Watermark for Large Language Models
by: Jiang, Ya, et al.
Published: (2025)
by: Jiang, Ya, et al.
Published: (2025)
Human-Instruction-Free LLM Self-Alignment with Limited Samples
by: Guo, Hongyi, et al.
Published: (2024)
by: Guo, Hongyi, et al.
Published: (2024)
Advancing Beyond Identification: Multi-bit Watermark for Large Language Models
by: Yoo, KiYoon, et al.
Published: (2023)
by: Yoo, KiYoon, et al.
Published: (2023)
Enhancing LLM Watermark Resilience Against Both Scrubbing and Spoofing Attacks
by: Shen, Huanming, et al.
Published: (2025)
by: Shen, Huanming, et al.
Published: (2025)
Measuring and Reducing LLM Hallucination without Gold-Standard Answers
by: Wei, Jiaheng, et al.
Published: (2024)
by: Wei, Jiaheng, et al.
Published: (2024)
AdParaphrase: Paraphrase Dataset for Analyzing Linguistic Features toward Generating Attractive Ad Texts
by: Murakami, Soichiro, et al.
Published: (2025)
by: Murakami, Soichiro, et al.
Published: (2025)
Training With "Paraphrasing the Original Text" Teaches LLM to Better Retrieve in Long-context Tasks
by: Yu, Yijiong, et al.
Published: (2023)
by: Yu, Yijiong, et al.
Published: (2023)
Detection of LLM-Paraphrased Code and Identification of the Responsible LLM Using Coding Style Features
by: Park, Shinwoo, et al.
Published: (2025)
by: Park, Shinwoo, et al.
Published: (2025)
Fairness Without Harm: An Influence-Guided Active Sampling Approach
by: Pang, Jinlong, et al.
Published: (2024)
by: Pang, Jinlong, et al.
Published: (2024)
Improving Reinforcement Learning from Human Feedback Using Contrastive Rewards
by: Shen, Wei, et al.
Published: (2024)
by: Shen, Wei, et al.
Published: (2024)
Paraphrasing Adversarial Attack on LLM-as-a-Reviewer
by: Kaneko, Masahiro
Published: (2026)
by: Kaneko, Masahiro
Published: (2026)
CODE ACROSTIC: Robust Watermarking for Code Generation
by: Lin, Li, et al.
Published: (2025)
by: Lin, Li, et al.
Published: (2025)
Detector-Evasive LLM Paraphrasing via Constrained Policy Optimization
by: Wang, Mingyi, et al.
Published: (2026)
by: Wang, Mingyi, et al.
Published: (2026)
Multi-View Slot Attention Using Paraphrased Texts for Face Anti-Spoofing
by: Yu, Jeongmin, et al.
Published: (2025)
by: Yu, Jeongmin, et al.
Published: (2025)
Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors
by: Fang, Hao, et al.
Published: (2025)
by: Fang, Hao, et al.
Published: (2025)
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
by: Liu, Yang, et al.
Published: (2023)
by: Liu, Yang, et al.
Published: (2023)
StealthRL: Reinforcement Learning Paraphrase Attacks for Multi-Detector Evasion of AI-Text Detectors
by: Ranganath, Suraj, et al.
Published: (2026)
by: Ranganath, Suraj, et al.
Published: (2026)
Waterfall: Framework for Robust and Scalable Text Watermarking and Provenance for LLMs
by: Lau, Gregory Kang Ruey, et al.
Published: (2024)
by: Lau, Gregory Kang Ruey, et al.
Published: (2024)
Distance Sampling-based Paraphraser Leveraging ChatGPT for Text Data Manipulation
by: Oh, Yoori, et al.
Published: (2024)
by: Oh, Yoori, et al.
Published: (2024)
Rel-Zero: Harnessing Patch-Pair Invariance for Robust Zero-Watermarking Against AI Editing
by: Chen, Pengzhen, et al.
Published: (2026)
by: Chen, Pengzhen, et al.
Published: (2026)
ODAR: Principled Adaptive Routing for LLM Reasoning via Active Inference
by: Ma, Siyuan, et al.
Published: (2026)
by: Ma, Siyuan, et al.
Published: (2026)
PRO: Enabling Precise and Robust Text Watermark for Open-Source LLMs
by: Xue, Jiaqi, et al.
Published: (2025)
by: Xue, Jiaqi, et al.
Published: (2025)
Double-I Watermark: Protecting Model Copyright for LLM Fine-tuning
by: Li, Shen, et al.
Published: (2024)
by: Li, Shen, et al.
Published: (2024)
A SER-based Device Selection Mechanism in Multi-bits Quantization Federated Learning
by: Sun, Pengcheng, et al.
Published: (2024)
by: Sun, Pengcheng, et al.
Published: (2024)
Similar Items
-
Learning to Watermark LLM-generated Text via Reinforcement Learning
by: Xu, Xiaojun, et al.
Published: (2024) -
Large Language Model Unlearning
by: Yao, Yuanshun, et al.
Published: (2023) -
SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness
by: Huo, Jiahao, et al.
Published: (2026) -
AliMark: Enhancing Robustness of Sentence-Level Watermarking Against Text Paraphrasing
by: Li, Yuexin, et al.
Published: (2026) -
ACC-Collab: An Actor-Critic Approach to Multi-Agent LLM Collaboration
by: Estornell, Andrew, et al.
Published: (2024)