Cover Image

Factuality Beyond Coherence: Evaluating LLM Watermarking Methods for Medical Texts

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hastuti, Rochana Prih, Rajagede, Rian Adam, Ghanim, Mansour Al, Zheng, Mengxin, Lou, Qian
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evaluating the Robustness and Accuracy of Text Watermarking Under Real-World Cross-Lingual Manipulations
by: Ghanim, Mansour Al, et al.
Published: (2025)

PRO: Enabling Precise and Robust Text Watermark for Open-Source LLMs
by: Xue, Jiaqi, et al.
Published: (2025)

Reliability Analysis of Fully Homomorphic Encryption Systems Under Memory Faults
by: Rajagede, Rian Adam, et al.
Published: (2025)

CR-UTP: Certified Robustness against Universal Text Perturbations on Large Language Models
by: Lou, Qian, et al.
Published: (2024)

BadFair: Backdoored Fairness Attacks with Group-conditioned Triggers
by: Xue, Jiaqi, et al.
Published: (2024)

TFHE-Coder: Evaluating LLM-agentic Fully Homomorphic Encryption Code Generation
by: Kumar, Mayank, et al.
Published: (2025)

Watermarking LLM Agent Trajectories
by: Meng, Wenlong, et al.
Published: (2026)

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

No Free Lunch in LLM Watermarking: Trade-offs in Watermarking Design Choices
by: Pang, Qi, et al.
Published: (2024)

SecureRouter: Encrypted Routing for Efficient Secure Inference
by: Zhang, Yukuan, et al.
Published: (2026)

RobPI: Robust Private Inference against Malicious Client
by: Xue, Jiaqi, et al.
Published: (2026)

XMark: Reliable Multi-Bit Watermarking for LLM-Generated Texts
by: Xu, Jiahao, et al.
Published: (2026)

Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy
by: Fu, Yu, et al.
Published: (2023)

TextSeal: A Localized LLM Watermark for Provenance & Distillation Protection
by: Sander, Tom, et al.
Published: (2026)

Robustness Assessment and Enhancement of Text Watermarking for Google's SynthID
by: Han, Xia, et al.
Published: (2025)

Multi-use LLM Watermarking and the False Detection Problem
by: Fu, Zihao, et al.
Published: (2025)

WorldCup Sampling for Multi-bit LLM Watermarking
by: Wang, Yidan, et al.
Published: (2026)

FFT: Towards Harmlessness Evaluation and Analysis for LLMs with Factuality, Fairness, Toxicity
by: Cui, Shiyao, et al.
Published: (2023)

Block-wise Codeword Embedding for Reliable Multi-bit Text Watermarking
by: Kim, Joeun, et al.
Published: (2026)

Robust LLM Watermarking with Minimal Semantic Distortion for IP Protection
by: Dang, Kieu, et al.
Published: (2026)

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

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

Invisible Entropy: Towards Safe and Efficient Low-Entropy LLM Watermarking
by: Gu, Tianle, et al.
Published: (2025)

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

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

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

SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness
by: Huo, Jiahao, et al.
Published: (2026)

LLM-based Privacy Data Augmentation Guided by Knowledge Distillation with a Distribution Tutor for Medical Text Classification
by: Song, Yiping, et al.
Published: (2024)

Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation
by: Zhang, Jiankun, et al.
Published: (2025)

Rethinking LLM Watermark Detection in Black-Box Settings: A Non-Intrusive Third-Party Framework
by: Wang, Zhuoshang, et al.
Published: (2026)

Towards Safe AI Clinicians: A Comprehensive Study on Large Language Model Jailbreaking in Healthcare
by: Zhang, Hang, et al.
Published: (2025)

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

GuidedBench: Measuring and Mitigating the Evaluation Discrepancies of In-the-wild LLM Jailbreak Methods
by: Huang, Ruixuan, et al.
Published: (2025)

Waterfall: Framework for Robust and Scalable Text Watermarking and Provenance for LLMs
by: Lau, Gregory Kang Ruey, et al.
Published: (2024)

Less is More: Sparse Watermarking in LLMs with Enhanced Text Quality
by: Hoang, Duy C., et al.
Published: (2024)

BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models
by: Xue, Jiaqi, et al.
Published: (2024)

LexiMark: Robust Watermarking via Lexical Substitutions to Enhance Membership Verification of an LLM's Textual Training Data
by: German, Eyal, et al.
Published: (2025)

On Evaluating The Performance of Watermarked Machine-Generated Texts Under Adversarial Attacks
by: Liu, Zesen, et al.
Published: (2024)

SSG: Logit-Balanced Vocabulary Partitioning for LLM Watermarking
by: Gu, Chenxi, et al.
Published: (2026)

PVMark: Enabling Public Verifiability for LLM Watermarking Schemes
by: Duan, Haohua, et al.
Published: (2025)