Copertina

A Reinforcement Learning Framework for Robust and Secure LLM Watermarking

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	An, Li, Liu, Yujian, Liu, Yepeng, Bu, Yuheng, Zhang, Yang, Chang, Shiyu
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Cryptography and Security
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Defending LLM Watermarking Against Spoofing Attacks with Contrastive Representation Learning
di: An, Li, et al.
Pubblicazione: (2025)

Theoretically Grounded Framework for LLM Watermarking: A Distribution-Adaptive Approach
di: He, Haiyun, et al.
Pubblicazione: (2024)

Dataset Protection via Watermarked Canaries in Retrieval-Augmented LLMs
di: Liu, Yepeng, et al.
Pubblicazione: (2025)

Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption
di: Liu, Yepeng, et al.
Pubblicazione: (2025)

Distributional Information Embedding: A Framework for Multi-bit Watermarking
di: He, Haiyun, et al.
Pubblicazione: (2025)

Image Watermarks are Removable Using Controllable Regeneration from Clean Noise
di: Liu, Yepeng, et al.
Pubblicazione: (2024)

SiGRRW: A Single-Watermark Robust Reversible Watermarking Framework with Guiding Strategy
di: Xu, Zikai, et al.
Pubblicazione: (2026)

RLCracker: Evaluating the Worst-Case Vulnerability of LLM Watermarks with Adaptive RL Attacks
di: Huang, Hanbo, et al.
Pubblicazione: (2025)

RLSpoofer: A Lightweight Evaluator for LLM Watermark Spoofing Resilience
di: Huang, Hanbo, et al.
Pubblicazione: (2026)

Model-Driven Security Analysis of Self-Sovereign Identity Systems
di: Ding, Yepeng, et al.
Pubblicazione: (2024)

Watermarking LLM-Generated Datasets in Downstream Tasks
di: Liu, Yugeng, et al.
Pubblicazione: (2025)

Learning to Watermark LLM-generated Text via Reinforcement Learning
di: Xu, Xiaojun, et al.
Pubblicazione: (2024)

VideoMark: A Distortion-Free Robust Watermarking Framework for Video Diffusion Models
di: Hu, Xuming, et al.
Pubblicazione: (2025)

FedGMark: Certifiably Robust Watermarking for Federated Graph Learning
di: Yang, Yuxin, et al.
Pubblicazione: (2024)

A Security Framework for General Blockchain Layer 2 Protocols
di: Avarikioti, Zeta, et al.
Pubblicazione: (2025)

A Certified Robust Watermark For Large Language Models
di: Feng, Xianheng, et al.
Pubblicazione: (2024)

REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models
di: Zhang, Ruisi, et al.
Pubblicazione: (2023)

Watermarking LLM Agent Trajectories
di: Meng, Wenlong, et al.
Pubblicazione: (2026)

DRGW: Learning Disentangled Representations for Robust Graph Watermarking
di: Li, Jiasen, et al.
Pubblicazione: (2026)

Robust-Wide: Robust Watermarking against Instruction-driven Image Editing
di: Hu, Runyi, et al.
Pubblicazione: (2024)

Is The Watermarking Of LLM-Generated Code Robust?
di: Suresh, Tarun, et al.
Pubblicazione: (2024)

Let Watermarks Speak: A Robust and Unforgeable Watermark for Language Models
di: Bai, Minhao
Pubblicazione: (2024)

Efficient and Universal Watermarking for LLM-Generated Code Detection
di: Li, Boquan, et al.
Pubblicazione: (2024)

VertMark: A Unified Training-Free Robust Watermarking Framework for Vertical Domain Pre-trained Language Models
di: Kong, Cong, et al.
Pubblicazione: (2026)

1-D CNN-Based Online Signature Verification with Federated Learning
di: Zhang, Lingfeng, et al.
Pubblicazione: (2024)

Watermark Robustness and Radioactivity May Be at Odds in Federated Learning
di: Huang, Leixu, et al.
Pubblicazione: (2025)

PathSeeker: Exploring LLM Security Vulnerabilities with a Reinforcement Learning-Based Jailbreak Approach
di: Lin, Zhihao, et al.
Pubblicazione: (2024)

Robust and Imperceptible Black-box DNN Watermarking Based on Fourier Perturbation Analysis and Frequency Sensitivity Clustering
di: Liu, Yong, et al.
Pubblicazione: (2022)

Secure and Robust Watermarking for AI-generated Images: A Comprehensive Survey
di: Cao, Jie, et al.
Pubblicazione: (2025)

Robustness of Watermarking on Text-to-Image Diffusion Models
di: Wu, Xiaodong, et al.
Pubblicazione: (2024)

A Practical and Secure Byzantine Robust Aggregator
di: Lee, De Zhang, et al.
Pubblicazione: (2025)

Watermark under Fire: A Robustness Evaluation of LLM Watermarking
di: Liang, Jiacheng, et al.
Pubblicazione: (2024)

Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization
di: Wang, Chenrui, et al.
Pubblicazione: (2025)

Generative Model Watermarking Suppressing High-Frequency Artifacts
di: Zhang, Li, et al.
Pubblicazione: (2023)

SEAL: Subspace-Anchored Watermarks for LLM Ownership
di: Dai, Yanbo, et al.
Pubblicazione: (2025)

Character-Level Perturbations Disrupt LLM Watermarks
di: Zhang, Zhaoxi, et al.
Pubblicazione: (2025)

MCGMark: An Encodable and Robust Online Watermark for Tracing LLM-Generated Malicious Code
di: Ning, Kaiwen, et al.
Pubblicazione: (2024)

CATMark: A Context-Aware Thresholding Framework for Robust Cross-Task Watermarking in Large Language Models
di: Zhang, Yu, et al.
Pubblicazione: (2025)

A Robust Semantics-based Watermark for Large Language Model against Paraphrasing
di: Ren, Jie, et al.
Pubblicazione: (2023)

AuthenLoRA: Entangling Stylization with Imperceptible Watermarks for Copyright-Secure LoRA Adapters
di: Shi, Fangming, et al.
Pubblicazione: (2025)