Cover Image

Signal Watermark on Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Zhenyu, Sheng, Victor S.
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FreqMark: Frequency-Based Watermark for Sentence-Level Detection of LLM-Generated Text
by: Xu, Zhenyu, et al.
Published: (2024)

Breaking Distortion-free Watermarks in Large Language Models
by: Reynolds, Shayleen, et al.
Published: (2025)

Watermark Stealing in Large Language Models
by: Jovanović, Nikola, et al.
Published: (2024)

A Watermark for Large Language Models
by: Kirchenbauer, John, et al.
Published: (2023)

On the Reliability of Watermarks for Large Language Models
by: Kirchenbauer, John, et al.
Published: (2023)

Topic-Based Watermarks for Large Language Models
by: Nemecek, Alexander, et al.
Published: (2024)

Black-Box Detection of Language Model Watermarks
by: Gloaguen, Thibaud, et al.
Published: (2024)

Ideal Attribution and Faithful Watermarks for Language Models
by: Song, Min Jae, et al.
Published: (2025)

Watermarks for Embeddings-as-a-Service Large Language Models
by: Shetty, Anudeex
Published: (2025)

DMark: Order-Agnostic Watermarking for Diffusion Large Language Models
by: Wu, Linyu, et al.
Published: (2025)

Watermarking Language Models through Language Models
by: Dasgupta, Agnibh, et al.
Published: (2024)

On the Learnability of Watermarks for Language Models
by: Gu, Chenchen, et al.
Published: (2023)

Watermarking Diffusion Language Models
by: Gloaguen, Thibaud, et al.
Published: (2025)

AttnDiff: Attention-based Differential Fingerprinting for Large Language Models
by: Zhang, Haobo, et al.
Published: (2026)

A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models
by: Wu, Yihan, et al.
Published: (2023)

SimKey: A Semantically Aware Key Module for Watermarking Language Models
by: Kodama, Shingo, et al.
Published: (2025)

Scalable Fingerprinting of Large Language Models
by: Nasery, Anshul, et al.
Published: (2025)

Improving the Trade-off Between Watermark Strength and Speculative Sampling Efficiency for Language Models
by: He, Weiqing, et al.
Published: (2026)

Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models
by: Huo, Mingjia, et al.
Published: (2024)

Publicly-Detectable Watermarking for Language Models
by: Fairoze, Jaiden, et al.
Published: (2023)

Duwak: Dual Watermarks in Large Language Models
by: Zhu, Chaoyi, et al.
Published: (2024)

Debiasing Watermarks for Large Language Models via Maximal Coupling
by: Xie, Yangxinyu, et al.
Published: (2024)

Traceable Black-box Watermarks for Federated Learning
by: Xu, Jiahao, et al.
Published: (2025)

Security and Detectability Analysis of Unicode Text Watermarking Methods Against Large Language Models
by: Hellmeier, Malte
Published: (2025)

Robust and Secure Code Watermarking for Large Language Models via ML/Crypto Codesign
by: Zhang, Ruisi, et al.
Published: (2025)

Watermarking Language Models with Error Correcting Codes
by: Chao, Patrick, et al.
Published: (2024)

Discovering Spoofing Attempts on Language Model Watermarks
by: Gloaguen, Thibaud, et al.
Published: (2024)

A Watermark for Black-Box Language Models
by: Bahri, Dara, et al.
Published: (2024)

Robust Distortion-free Watermarks for Language Models
by: Kuditipudi, Rohith, et al.
Published: (2023)

Extracting Spatiotemporal Data from Gradients with Large Language Models
by: Zheng, Lele, et al.
Published: (2024)

Machine Unlearning for Traditional Models and Large Language Models: A Short Survey
by: Xu, Yi
Published: (2024)

Distortion-free Watermarks are not Truly Distortion-free under Watermark Key Collisions
by: Wu, Yihan, et al.
Published: (2024)

Elevating Defenses: Bridging Adversarial Training and Watermarking for Model Resilience
by: Thakkar, Janvi, et al.
Published: (2023)

Unforgeable Watermarks for Language Models via Robust Signatures
by: Lin, Huijia, et al.
Published: (2026)

Protecting Copyright of Medical Pre-trained Language Models: Training-Free Backdoor Model Watermarking
by: Kong, Cong, et al.
Published: (2024)

A Behavioral Fingerprint for Large Language Models: Provenance Tracking via Refusal Vectors
by: Xu, Zhenyu, et al.
Published: (2026)

Watermarking Generative Categorical Data
by: Gu, Bochao, et al.
Published: (2024)

Refined Detection for Gumbel Watermarking
by: Lattimore, Tor
Published: (2026)

Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models
by: Zhang, Hanlin, et al.
Published: (2023)

MEA-Defender: A Robust Watermark against Model Extraction Attack
by: Lv, Peizhuo, et al.
Published: (2024)