Copertina

Robustness Assessment and Enhancement of Text Watermarking for Google's SynthID

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Han, Xia, Li, Qi, Ni, Jianbing, Zulkernine, Mohammad
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Cryptography and Security Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

On Google's SynthID-Text LLM Watermarking System: Theoretical Analysis and Empirical Validation
di: Omidi, Romina, et al.
Pubblicazione: (2026)

SynthID-Image: Image watermarking at internet scale
di: Gowal, Sven, et al.
Pubblicazione: (2025)

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

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

MelShield: Robust Mel-Domain Audio Watermarking for Provenance Attribution of AI Generated Synthesized Speech
di: Jin, Yutong, et al.
Pubblicazione: (2026)

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

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

Factuality Beyond Coherence: Evaluating LLM Watermarking Methods for Medical Texts
di: Hastuti, Rochana Prih, et al.
Pubblicazione: (2025)

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

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

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

Fight Poison with Poison: Enhancing Robustness in Few-shot Machine-Generated Text Detection with Adversarial Training
di: Duan, Wenjing, et al.
Pubblicazione: (2026)

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

PMark: Towards Robust and Distortion-free Semantic-level Watermarking with Channel Constraints
di: Huo, Jiahao, et al.
Pubblicazione: (2025)

MarkSweep: A No-box Removal Attack on AI-Generated Image Watermarking via Noise Intensification and Frequency-aware Denoising
di: Cao, Jie, et al.
Pubblicazione: (2026)

WaterPool: A Watermark Mitigating Trade-offs among Imperceptibility, Efficacy and Robustness
di: Huang, Baizhou, et al.
Pubblicazione: (2024)

EmMark: Robust Watermarks for IP Protection of Embedded Quantized Large Language Models
di: Zhang, Ruisi, 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)

Revisiting the Robustness of Watermarking to Paraphrasing Attacks
di: Rastogi, Saksham, et al.
Pubblicazione: (2024)

Privacy-preserving Machine Learning in Internet of Vehicle Applications: Fundamentals, Recent Advances, and Future Direction
di: Islam, Nazmul, et al.
Pubblicazione: (2025)

CONTEX-T: Contextual Exploitation of Encrypted Traffic for Device Fingerprinting via Transformer Time-Frequency Analysis
di: Islam, Nazmul, et al.
Pubblicazione: (2026)

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

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

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

AliMark: Enhancing Robustness of Sentence-Level Watermarking Against Text Paraphrasing
di: Li, Yuexin, et al.
Pubblicazione: (2026)

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

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

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

More Haste, Less Speed: Weaker Single-Layer Watermark Improves Distortion-Free Watermark Ensembles
di: Chen, Ruibo, et al.
Pubblicazione: (2026)

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

Provably Robust Watermarks for Open-Source Language Models
di: Christ, Miranda, et al.
Pubblicazione: (2024)

Yet Another Watermark for Large Language Models
di: Bao, Siyuan, et al.
Pubblicazione: (2025)

SoK: Are Watermarks in LLMs Ready for Deployment?
di: Dang, Kieu, et al.
Pubblicazione: (2025)

Watermarks for Language Models via Probabilistic Automata
di: Wang, Yangkun, et al.
Pubblicazione: (2025)

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

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

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

Robust Data Watermarking in Language Models by Injecting Fictitious Knowledge
di: Cui, Xinyue, et al.
Pubblicazione: (2025)

Majority Bit-Aware Watermarking For Large Language Models
di: Xu, Jiahao, et al.
Pubblicazione: (2025)