In-Context Watermarks for Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Yepeng, Zhao, Xuandong, Kruegel, Christopher, Song, Dawn, Bu, Yuheng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Dataset Protection via Watermarked Canaries in Retrieval-Augmented LLMs
by: Liu, Yepeng, et al.
Published: (2025)
by: Liu, Yepeng, 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)
Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption
by: Liu, Yepeng, et al.
Published: (2025)
by: Liu, Yepeng, et al.
Published: (2025)
Scalable Best-of-N Selection for Large Language Models via Self-Certainty
by: Kang, Zhewei, et al.
Published: (2025)
by: Kang, Zhewei, et al.
Published: (2025)
Defending LLM Watermarking Against Spoofing Attacks with Contrastive Representation Learning
by: An, Li, et al.
Published: (2025)
by: An, Li, et al.
Published: (2025)
Are You Getting What You Pay For? Auditing Model Substitution in LLM APIs
by: Cai, Will, et al.
Published: (2025)
by: Cai, Will, et al.
Published: (2025)
AgentSynth: Scalable Task Generation for Generalist Computer-Use Agents
by: Xie, Jingxu, et al.
Published: (2025)
by: Xie, Jingxu, et al.
Published: (2025)
InfoSynth: Information-Guided Benchmark Synthesis for LLMs
by: Garg, Ishir, et al.
Published: (2026)
by: Garg, Ishir, et al.
Published: (2026)
GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trick
by: Fu, Jiayi, et al.
Published: (2024)
by: Fu, Jiayi, et al.
Published: (2024)
Auditing Agent Harness Safety
by: Liu, Chengzhi, et al.
Published: (2026)
by: Liu, Chengzhi, et al.
Published: (2026)
Machine Bullshit: Characterizing the Emergent Disregard for Truth in Large Language Models
by: Liang, Kaiqu, et al.
Published: (2025)
by: Liang, Kaiqu, et al.
Published: (2025)
Efficiently Identifying Watermarked Segments in Mixed-Source Texts
by: Zhao, Xuandong, et al.
Published: (2024)
by: Zhao, Xuandong, et al.
Published: (2024)
Assessing Judging Bias in Large Reasoning Models: An Empirical Study
by: Wang, Qian, et al.
Published: (2025)
by: Wang, Qian, et al.
Published: (2025)
The Landscape of Memorization in LLMs: Mechanisms, Measurement, and Mitigation
by: Xiong, Alexander, et al.
Published: (2025)
by: Xiong, Alexander, et al.
Published: (2025)
A Practical Examination of AI-Generated Text Detectors for Large Language Models
by: Tufts, Brian, et al.
Published: (2024)
by: Tufts, Brian, et al.
Published: (2024)
An Undetectable Watermark for Generative Image Models
by: Gunn, Sam, et al.
Published: (2024)
by: Gunn, Sam, et al.
Published: (2024)
Learning to Reason without External Rewards
by: Zhao, Xuandong, et al.
Published: (2025)
by: Zhao, Xuandong, et al.
Published: (2025)
HATS: High-Accuracy Triple-Set Watermarking for Large Language Models
by: Hu, Zhiqing, et al.
Published: (2025)
by: Hu, Zhiqing, et al.
Published: (2025)
Bileve: Securing Text Provenance in Large Language Models Against Spoofing with Bi-level Signature
by: Zhou, Tong, et al.
Published: (2024)
by: Zhou, Tong, et al.
Published: (2024)
Stylometric Watermarks for Large Language Models
by: Niess, Georg, et al.
Published: (2024)
by: Niess, Georg, et al.
Published: (2024)
Ensemble Watermarks for Large Language Models
by: Niess, Georg, et al.
Published: (2024)
by: Niess, Georg, et al.
Published: (2024)
Multimodal Situational Safety
by: Zhou, Kaiwen, et al.
Published: (2024)
by: Zhou, Kaiwen, et al.
Published: (2024)
GRATH: Gradual Self-Truthifying for Large Language Models
by: Chen, Weixin, et al.
Published: (2024)
by: Chen, Weixin, et al.
Published: (2024)
Weak-to-Strong Jailbreaking on Large Language Models
by: Zhao, Xuandong, et al.
Published: (2024)
by: Zhao, Xuandong, et al.
Published: (2024)
Improved Unbiased Watermark for Large Language Models
by: Chen, Ruibo, et al.
Published: (2025)
by: Chen, Ruibo, et al.
Published: (2025)
Enhancing Complex Instruction Following for Large Language Models with Mixture-of-Contexts Fine-tuning
by: Lu, Yuheng, et al.
Published: (2025)
by: Lu, Yuheng, et al.
Published: (2025)
Image Watermarks are Removable Using Controllable Regeneration from Clean Noise
by: Liu, Yepeng, et al.
Published: (2024)
by: Liu, Yepeng, et al.
Published: (2024)
Improving LLM Safety Alignment with Dual-Objective Optimization
by: Zhao, Xuandong, et al.
Published: (2025)
by: Zhao, Xuandong, et al.
Published: (2025)
De-mark: Watermark Removal in Large Language Models
by: Chen, Ruibo, et al.
Published: (2024)
by: Chen, Ruibo, et al.
Published: (2024)
CATMark: A Context-Aware Thresholding Framework for Robust Cross-Task Watermarking in Large Language Models
by: Zhang, Yu, et al.
Published: (2025)
by: Zhang, Yu, et al.
Published: (2025)
Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models
by: He, Zhiwei, et al.
Published: (2024)
by: He, Zhiwei, et al.
Published: (2024)
Yet Another Watermark for Large Language Models
by: Bao, Siyuan, et al.
Published: (2025)
by: Bao, Siyuan, et al.
Published: (2025)
Cross-Attention Watermarking of Large Language Models
by: Baldassini, Folco Bertini, et al.
Published: (2024)
by: Baldassini, Folco Bertini, et al.
Published: (2024)
Necessary and Sufficient Watermark for Large Language Models
by: Takezawa, Yuki, et al.
Published: (2023)
by: Takezawa, Yuki, et al.
Published: (2023)
Length Value Model: Scalable Value Pretraining for Token-Level Length Modeling
by: Zhang, Zhen, et al.
Published: (2026)
by: Zhang, Zhen, et al.
Published: (2026)
Invisible Image Watermarks Are Provably Removable Using Generative AI
by: Zhao, Xuandong, et al.
Published: (2023)
by: Zhao, Xuandong, et al.
Published: (2023)
One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models
by: Cao, Pengfei, et al.
Published: (2024)
by: Cao, Pengfei, 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)
Thus Spake Long-Context Large Language Model
by: Liu, Xiaoran, et al.
Published: (2025)
by: Liu, Xiaoran, et al.
Published: (2025)
Similar Items
-
Dataset Protection via Watermarked Canaries in Retrieval-Augmented LLMs
by: Liu, Yepeng, et al.
Published: (2025) -
Adaptive Text Watermark for Large Language Models
by: Liu, Yepeng, et al.
Published: (2024) -
Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption
by: Liu, Yepeng, et al.
Published: (2025) -
Scalable Best-of-N Selection for Large Language Models via Self-Certainty
by: Kang, Zhewei, et al.
Published: (2025) -
Defending LLM Watermarking Against Spoofing Attacks with Contrastive Representation Learning
by: An, Li, et al.
Published: (2025)