Watermarking Diffusion Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Gloaguen, Thibaud, Staab, Robin, Jovanović, Nikola, Vechev, Martin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Discovering Spoofing Attempts on Language Model Watermarks
by: Gloaguen, Thibaud, et al.
Published: (2024)
by: Gloaguen, Thibaud, et al.
Published: (2024)
A Unified Framework for LLM Watermarks
by: Gloaguen, Thibaud, et al.
Published: (2026)
by: Gloaguen, Thibaud, et al.
Published: (2026)
Black-Box Detection of Language Model Watermarks
by: Gloaguen, Thibaud, et al.
Published: (2024)
by: Gloaguen, Thibaud, et al.
Published: (2024)
Towards Watermarking of Open-Source LLMs
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)
LLM Fingerprinting via Semantically Conditioned Watermarks
by: Gloaguen, Thibaud, et al.
Published: (2025)
by: Gloaguen, Thibaud, et al.
Published: (2025)
Ward: Provable RAG Dataset Inference via LLM Watermarks
by: Jovanović, Nikola, et al.
Published: (2024)
by: Jovanović, Nikola, et al.
Published: (2024)
Watch your steps: Dormant Adversarial Behaviors that Activate upon LLM Finetuning
by: Gloaguen, Thibaud, et al.
Published: (2025)
by: Gloaguen, Thibaud, et al.
Published: (2025)
Every Bit, Everywhere, All at Once: A Binomial Multibit LLM Watermark
by: Gloaguen, Thibaud, et al.
Published: (2026)
by: Gloaguen, Thibaud, et al.
Published: (2026)
Fewer Weights, More Problems: A Practical Attack on LLM Pruning
by: Egashira, Kazuki, et al.
Published: (2025)
by: Egashira, Kazuki, et al.
Published: (2025)
Watermarking Autoregressive Image Generation
by: Jovanović, Nikola, et al.
Published: (2025)
by: Jovanović, Nikola, et al.
Published: (2025)
Pay Attention to the Triggers: Constructing Backdoors That Survive Distillation
by: De Muri, Giovanni, et al.
Published: (2025)
by: De Muri, Giovanni, et al.
Published: (2025)
Mind the Gap: A Practical Attack on GGUF Quantization
by: Egashira, Kazuki, et al.
Published: (2025)
by: Egashira, Kazuki, et al.
Published: (2025)
Exploiting LLM Quantization
by: Egashira, Kazuki, et al.
Published: (2024)
by: Egashira, Kazuki, et al.
Published: (2024)
SoK: Data Minimization in Machine Learning
by: Staab, Robin, et al.
Published: (2025)
by: Staab, Robin, et al.
Published: (2025)
DMark: Order-Agnostic Watermarking for Diffusion Large Language Models
by: Wu, Linyu, et al.
Published: (2025)
by: Wu, Linyu, et al.
Published: (2025)
BaxBench: Can LLMs Generate Correct and Secure Backends?
by: Vero, Mark, et al.
Published: (2025)
by: Vero, Mark, et al.
Published: (2025)
Large Language Models are Advanced Anonymizers
by: Staab, Robin, et al.
Published: (2024)
by: Staab, Robin, et al.
Published: (2024)
Unforgeable Watermarks for Language Models via Robust Signatures
by: Lin, Huijia, et al.
Published: (2026)
by: Lin, Huijia, et al.
Published: (2026)
Transferable Black-Box One-Shot Forging of Watermarks via Image Preference Models
by: Souček, Tomáš, et al.
Published: (2025)
by: Souček, Tomáš, et al.
Published: (2025)
Evading Data Contamination Detection for Language Models is (too) Easy
by: Dekoninck, Jasper, et al.
Published: (2024)
by: Dekoninck, Jasper, et al.
Published: (2024)
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)
Security and Detectability Analysis of Unicode Text Watermarking Methods Against Large Language Models
by: Hellmeier, Malte
Published: (2025)
by: Hellmeier, Malte
Published: (2025)
Back to the Drawing Board for Fair Representation Learning
by: Pouget, Angéline, et al.
Published: (2024)
by: Pouget, Angéline, et al.
Published: (2024)
Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning
by: Garov, Kostadin, et al.
Published: (2023)
by: Garov, Kostadin, et al.
Published: (2023)
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)
Watermarking Makes Language Models Radioactive
by: Sander, Tom, et al.
Published: (2024)
by: Sander, Tom, 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)
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)
Mitigating Watermark Forgery in Generative Models via Randomized Key Selection
by: Aremu, Toluwani, et al.
Published: (2025)
by: Aremu, Toluwani, 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)
Instruction Tuning for Secure Code Generation
by: He, Jingxuan, et al.
Published: (2024)
by: He, Jingxuan, 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)
SoK: Watermarking for AI-Generated Content
by: Zhao, Xuandong, et al.
Published: (2024)
by: Zhao, Xuandong, 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)
Honeyval: A Comprehensive Evaluation Framework for LLM-powered HTTP Honeypots
by: Vero, Mark, et al.
Published: (2026)
by: Vero, Mark, et al.
Published: (2026)
Watermarking across Modalities for Content Tracing and Generative AI
by: Fernandez, Pierre
Published: (2025)
by: Fernandez, Pierre
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)
PostMark: A Robust Blackbox Watermark for Large Language Models
by: Chang, Yapei, et al.
Published: (2024)
by: Chang, Yapei, et al.
Published: (2024)
FLClear: Visually Verifiable Multi-Client Watermarking for Federated Learning
by: Gu, Chen, et al.
Published: (2025)
by: Gu, Chen, et al.
Published: (2025)
Similar Items
-
Discovering Spoofing Attempts on Language Model Watermarks
by: Gloaguen, Thibaud, et al.
Published: (2024) -
A Unified Framework for LLM Watermarks
by: Gloaguen, Thibaud, et al.
Published: (2026) -
Black-Box Detection of Language Model Watermarks
by: Gloaguen, Thibaud, et al.
Published: (2024) -
Towards Watermarking of Open-Source LLMs
by: Gloaguen, Thibaud, et al.
Published: (2025) -
Watermark Stealing in Large Language Models
by: Jovanović, Nikola, et al.
Published: (2024)