Saved in:
| Main Authors: | Lin, Huijia, Shahabi, Kameron, Song, Min Jae |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.15323 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Ideal Attribution and Faithful Watermarks for Language Models
by: Song, Min Jae, et al.
Published: (2025)
by: Song, Min Jae, et al.
Published: (2025)
RoboSignature: Robust Signature and Watermarking on Network Attacks
by: Shaan, Aryaman, et al.
Published: (2024)
by: Shaan, Aryaman, et al.
Published: (2024)
Robust Safety Monitoring of Language Models via Activation Watermarking
by: Aremu, Toluwani, et al.
Published: (2026)
by: Aremu, Toluwani, et al.
Published: (2026)
Watermarking Diffusion Language Models
by: Gloaguen, Thibaud, et al.
Published: (2025)
by: Gloaguen, Thibaud, et al.
Published: (2025)
Watermark Stealing in Large Language Models
by: Jovanović, Nikola, et al.
Published: (2024)
by: Jovanović, Nikola, et al.
Published: (2024)
Edit Distance Robust Watermarks via Indexing Pseudorandom Codes
by: Golowich, Noah, et al.
Published: (2024)
by: Golowich, Noah, et al.
Published: (2024)
Discovering Spoofing Attempts on Language Model Watermarks
by: Gloaguen, Thibaud, et al.
Published: (2024)
by: Gloaguen, Thibaud, 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)
Let Watermarks Speak: A Robust and Unforgeable Watermark for Language Models
by: Bai, Minhao
Published: (2024)
by: Bai, Minhao
Published: (2024)
DMark: Order-Agnostic Watermarking for Diffusion Large Language Models
by: Wu, Linyu, et al.
Published: (2025)
by: Wu, Linyu, et al.
Published: (2025)
PostMark: A Robust Blackbox Watermark for Large Language Models
by: Chang, Yapei, et al.
Published: (2024)
by: Chang, Yapei, et al.
Published: (2024)
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)
Differentially Private Publication of Electricity Time Series Data in Smart Grids
by: Shaham, Sina, et al.
Published: (2024)
by: Shaham, Sina, et al.
Published: (2024)
Mitigating Watermark Forgery in Generative Models via Randomized Key Selection
by: Aremu, Toluwani, et al.
Published: (2025)
by: Aremu, Toluwani, et al.
Published: (2025)
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)
Protecting Copyright of Medical Pre-trained Language Models: Training-Free Backdoor Model Watermarking
by: Kong, Cong, et al.
Published: (2024)
by: Kong, Cong, et al.
Published: (2024)
Watermarking Makes Language Models Radioactive
by: Sander, Tom, et al.
Published: (2024)
by: Sander, Tom, et al.
Published: (2024)
Security and Detectability Analysis of Unicode Text Watermarking Methods Against Large Language Models
by: Hellmeier, Malte
Published: (2025)
by: Hellmeier, Malte
Published: (2025)
Duwak: Dual Watermarks in Large Language Models
by: Zhu, Chaoyi, et al.
Published: (2024)
by: Zhu, Chaoyi, et al.
Published: (2024)
Learning to Watermark LLM-generated Text via Reinforcement Learning
by: Xu, Xiaojun, et al.
Published: (2024)
by: Xu, Xiaojun, et al.
Published: (2024)
Ward: Provable RAG Dataset Inference via LLM Watermarks
by: Jovanović, Nikola, et al.
Published: (2024)
by: Jovanović, Nikola, et al.
Published: (2024)
SoK: Watermarking for AI-Generated Content
by: Zhao, Xuandong, et al.
Published: (2024)
by: Zhao, Xuandong, et al.
Published: (2024)
SWAP: Towards Copyright Auditing of Soft Prompts via Sequential Watermarking
by: Yang, Wenyuan, et al.
Published: (2025)
by: Yang, Wenyuan, et al.
Published: (2025)
Generative Models are Self-Watermarked: Declaring Model Authentication through Re-Generation
by: Desu, Aditya, et al.
Published: (2024)
by: Desu, Aditya, et al.
Published: (2024)
Double-I Watermark: Protecting Model Copyright for LLM Fine-tuning
by: Li, Shen, et al.
Published: (2024)
by: Li, Shen, et al.
Published: (2024)
Mark Your LLM: Detecting the Misuse of Open-Source Large Language Models via Watermarking
by: Xu, Yijie, et al.
Published: (2025)
by: Xu, Yijie, et al.
Published: (2025)
A Unified Framework for LLM Watermarks
by: Gloaguen, Thibaud, et al.
Published: (2026)
by: Gloaguen, Thibaud, et al.
Published: (2026)
CLASP: Training-Free LLM-Assisted Source Code Watermarking via Semantic-Preserving Transformations
by: Xu, Rui, et al.
Published: (2025)
by: Xu, Rui, et al.
Published: (2025)
Sigil: Server-Enforced Watermarking in U-Shaped Split Federated Learning via Gradient Injection
by: Dai, Zhengchunmin, et al.
Published: (2025)
by: Dai, Zhengchunmin, et al.
Published: (2025)
GaussMark: A Practical Approach for Structural Watermarking of Language Models
by: Block, Adam, et al.
Published: (2025)
by: Block, Adam, et al.
Published: (2025)
Watermarking across Modalities for Content Tracing and Generative AI
by: Fernandez, Pierre
Published: (2025)
by: Fernandez, Pierre
Published: (2025)
FLClear: Visually Verifiable Multi-Client Watermarking for Federated Learning
by: Gu, Chen, et al.
Published: (2025)
by: Gu, Chen, et al.
Published: (2025)
AliMark: Enhancing Robustness of Sentence-Level Watermarking Against Text Paraphrasing
by: Li, Yuexin, et al.
Published: (2026)
by: Li, Yuexin, et al.
Published: (2026)
PoLO: Proof-of-Learning and Proof-of-Ownership at Once with Chained Watermarking
by: Deng, Haiyu, et al.
Published: (2025)
by: Deng, Haiyu, et al.
Published: (2025)
Topological Signatures of Adversaries in Multimodal Alignments
by: Vu, Minh, et al.
Published: (2025)
by: Vu, Minh, et al.
Published: (2025)
MarkTune: Improving the Quality-Detectability Trade-off in Open-Weight LLM Watermarking
by: Zhao, Yizhou, et al.
Published: (2025)
by: Zhao, Yizhou, et al.
Published: (2025)
FreeMark: A Non-Invasive White-Box Watermarking for Deep Neural Networks
by: Chen, Yuzhang, et al.
Published: (2024)
by: Chen, Yuzhang, et al.
Published: (2024)
SPRINT: Robust Model Attribution of Generated Images via Secret Pixel Reconstruction
by: Yao, Kai, et al.
Published: (2025)
by: Yao, Kai, et al.
Published: (2025)
VideoMarkBench: Benchmarking Robustness of Video Watermarking
by: Jiang, Zhengyuan, et al.
Published: (2025)
by: Jiang, Zhengyuan, et al.
Published: (2025)
Reconstructing Training Data from Adapter-based Federated Large Language Models
by: Chen, Silong, et al.
Published: (2026)
by: Chen, Silong, et al.
Published: (2026)
Similar Items
-
Ideal Attribution and Faithful Watermarks for Language Models
by: Song, Min Jae, et al.
Published: (2025) -
RoboSignature: Robust Signature and Watermarking on Network Attacks
by: Shaan, Aryaman, et al.
Published: (2024) -
Robust Safety Monitoring of Language Models via Activation Watermarking
by: Aremu, Toluwani, et al.
Published: (2026) -
Watermarking Diffusion Language Models
by: Gloaguen, Thibaud, et al.
Published: (2025) -
Watermark Stealing in Large Language Models
by: Jovanović, Nikola, et al.
Published: (2024)