WET: Overcoming Paraphrasing Vulnerabilities in Embeddings-as-a-Service with Linear Transformation Watermarks
Fuente:
arXiv
Saved in:
| Main Authors: | Shetty, Anudeex, Xu, Qiongkai, Lau, Jey Han |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
WARDEN: Multi-Directional Backdoor Watermarks for Embedding-as-a-Service Copyright Protection
by: Shetty, Anudeex, et al.
Published: (2024)
by: Shetty, Anudeex, et al.
Published: (2024)
Watermarks for Embeddings-as-a-Service Large Language Models
by: Shetty, Anudeex
Published: (2025)
by: Shetty, Anudeex
Published: (2025)
In Vino Veritas and Vulnerabilities: Examining LLM Safety via Drunk Language Inducement
by: Shetty, Anudeex, et al.
Published: (2026)
by: Shetty, Anudeex, et al.
Published: (2026)
Revisiting the Robustness of Watermarking to Paraphrasing Attacks
by: Rastogi, Saksham, et al.
Published: (2024)
by: Rastogi, Saksham, et al.
Published: (2024)
AliMark: Enhancing Robustness of Sentence-Level Watermarking Against Text Paraphrasing
by: Li, Yuexin, et al.
Published: (2026)
by: Li, Yuexin, et al.
Published: (2026)
Who Wrote the Book? Detecting and Attributing LLM Ghostwriters
by: Shetty, Anudeex, et al.
Published: (2026)
by: Shetty, Anudeex, et al.
Published: (2026)
IDT: Dual-Task Adversarial Attacks for Privacy Protection
by: Faustini, Pedro, et al.
Published: (2024)
by: Faustini, Pedro, et al.
Published: (2024)
Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models
by: Zhang, Hanlin, et al.
Published: (2023)
by: Zhang, Hanlin, et al.
Published: (2023)
Watermark under Fire: A Robustness Evaluation of LLM Watermarking
by: Liang, Jiacheng, et al.
Published: (2024)
by: Liang, Jiacheng, et al.
Published: (2024)
Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients
by: Li, Weijun, et al.
Published: (2024)
by: Li, Weijun, et al.
Published: (2024)
No Free Lunch in LLM Watermarking: Trade-offs in Watermarking Design Choices
by: Pang, Qi, et al.
Published: (2024)
by: Pang, Qi, et al.
Published: (2024)
On the Learnability of Watermarks for Language Models
by: Gu, Chenchen, et al.
Published: (2023)
by: Gu, Chenchen, et al.
Published: (2023)
FreqMark: Frequency-Based Watermark for Sentence-Level Detection of LLM-Generated Text
by: Xu, Zhenyu, et al.
Published: (2024)
by: Xu, Zhenyu, et al.
Published: (2024)
A Transfer Attack to Image Watermarks
by: Hu, Yuepeng, et al.
Published: (2024)
by: Hu, Yuepeng, et al.
Published: (2024)
A Watermark for Large Language Models
by: Kirchenbauer, John, et al.
Published: (2023)
by: Kirchenbauer, John, et al.
Published: (2023)
Watermarking Needs Input Repetition Masking
by: Khachaturov, David, et al.
Published: (2025)
by: Khachaturov, David, et al.
Published: (2025)
On the Reliability of Watermarks for Large Language Models
by: Kirchenbauer, John, et al.
Published: (2023)
by: Kirchenbauer, John, et al.
Published: (2023)
Publicly-Detectable Watermarking for Language Models
by: Fairoze, Jaiden, et al.
Published: (2023)
by: Fairoze, Jaiden, et al.
Published: (2023)
Watermarking Language Models through Language Models
by: Dasgupta, Agnibh, et al.
Published: (2024)
by: Dasgupta, Agnibh, et al.
Published: (2024)
Topic-Based Watermarks for Large Language Models
by: Nemecek, Alexander, et al.
Published: (2024)
by: Nemecek, Alexander, et al.
Published: (2024)
Watermarking Language Models with Error Correcting Codes
by: Chao, Patrick, et al.
Published: (2024)
by: Chao, Patrick, et al.
Published: (2024)
A Watermark for Black-Box Language Models
by: Bahri, Dara, et al.
Published: (2024)
by: Bahri, Dara, et al.
Published: (2024)
Robust Distortion-free Watermarks for Language Models
by: Kuditipudi, Rohith, et al.
Published: (2023)
by: Kuditipudi, Rohith, et al.
Published: (2023)
Geometry-Aware Localized Watermarking for Copyright Protection in Embedding-as-a-Service
by: Chen, Zhimin, et al.
Published: (2026)
by: Chen, Zhimin, et al.
Published: (2026)
PVMark: Enabling Public Verifiability for LLM Watermarking Schemes
by: Duan, Haohua, et al.
Published: (2025)
by: Duan, Haohua, et al.
Published: (2025)
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)
Robust Data Watermarking in Language Models by Injecting Fictitious Knowledge
by: Cui, Xinyue, et al.
Published: (2025)
by: Cui, Xinyue, et al.
Published: (2025)
A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models
by: Wu, Yihan, et al.
Published: (2023)
by: Wu, Yihan, et al.
Published: (2023)
STAMP Your Content: Proving Dataset Membership via Watermarked Rephrasings
by: Rastogi, Saksham, et al.
Published: (2025)
by: Rastogi, Saksham, et al.
Published: (2025)
TextSeal: A Localized LLM Watermark for Provenance & Distillation Protection
by: Sander, Tom, et al.
Published: (2026)
by: Sander, Tom, et al.
Published: (2026)
How Vulnerable Are Edge LLMs?
by: Ding, Ao, et al.
Published: (2026)
by: Ding, Ao, et al.
Published: (2026)
Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models
by: Huo, Mingjia, et al.
Published: (2024)
by: Huo, Mingjia, et al.
Published: (2024)
Robust and Secure Code Watermarking for Large Language Models via ML/Crypto Codesign
by: Zhang, Ruisi, et al.
Published: (2025)
by: Zhang, Ruisi, et al.
Published: (2025)
Implicit Identity Technologies for LLMs: Fingerprinting and Watermarking across Datasets, Models, and Generated Content
by: Liu, Bing, et al.
Published: (2026)
by: Liu, Bing, et al.
Published: (2026)
Multi-Trigger Poisoning Amplifies Backdoor Vulnerabilities in LLMs
by: Sivapiromrat, Sanhanat, et al.
Published: (2025)
by: Sivapiromrat, Sanhanat, et al.
Published: (2025)
Importing Phantoms: Measuring LLM Package Hallucination Vulnerabilities
by: Krishna, Arjun, et al.
Published: (2025)
by: Krishna, Arjun, et al.
Published: (2025)
Future Events as Backdoor Triggers: Investigating Temporal Vulnerabilities in LLMs
by: Price, Sara, et al.
Published: (2024)
by: Price, Sara, et al.
Published: (2024)
Detecting and Understanding Vulnerabilities in Language Models via Mechanistic Interpretability
by: García-Carrasco, Jorge, et al.
Published: (2024)
by: García-Carrasco, Jorge, et al.
Published: (2024)
Exploring Vulnerabilities and Protections in Large Language Models: A Survey
by: Liu, Frank Weizhen, et al.
Published: (2024)
by: Liu, Frank Weizhen, et al.
Published: (2024)
Debiasing Watermarks for Large Language Models via Maximal Coupling
by: Xie, Yangxinyu, et al.
Published: (2024)
by: Xie, Yangxinyu, et al.
Published: (2024)
Similar Items
-
WARDEN: Multi-Directional Backdoor Watermarks for Embedding-as-a-Service Copyright Protection
by: Shetty, Anudeex, et al.
Published: (2024) -
Watermarks for Embeddings-as-a-Service Large Language Models
by: Shetty, Anudeex
Published: (2025) -
In Vino Veritas and Vulnerabilities: Examining LLM Safety via Drunk Language Inducement
by: Shetty, Anudeex, et al.
Published: (2026) -
Revisiting the Robustness of Watermarking to Paraphrasing Attacks
by: Rastogi, Saksham, et al.
Published: (2024) -
AliMark: Enhancing Robustness of Sentence-Level Watermarking Against Text Paraphrasing
by: Li, Yuexin, et al.
Published: (2026)