Imagen de Portada

PostMark: A Robust Blackbox Watermark for Large Language Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Chang, Yapei, Krishna, Kalpesh, Houmansadr, Amir, Wieting, John, Iyyer, Mohit
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Artificial Intelligence Computation and Language Cryptography and Security
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

Mark Your LLM: Detecting the Misuse of Open-Source Large Language Models via Watermarking
por: Xu, Yijie, et al.
Publicado: (2025)

GaussMark: A Practical Approach for Structural Watermarking of Language Models
por: Block, Adam, et al.
Publicado: (2025)

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

Mark My Words: Analyzing and Evaluating Language Model Watermarks
por: Piet, Julien, et al.
Publicado: (2023)

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

Iteratively Prompting Multimodal LLMs to Reproduce Natural and AI-Generated Images
por: Naseh, Ali, et al.
Publicado: (2024)

Watermarking Makes Language Models Radioactive
por: Sander, Tom, et al.
Publicado: (2024)

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

Backdooring Bias ($B^2$) into Stable Diffusion Models
por: Naseh, Ali, et al.
Publicado: (2024)

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

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

Can Large Language Models Really Recognize Your Name?
por: Pham, Dzung, et al.
Publicado: (2025)

Learnable Linguistic Watermarks for Tracing Model Extraction Attacks on Large Language Models
por: Bai, Minhao, et al.
Publicado: (2024)

Advancing Beyond Identification: Multi-bit Watermark for Large Language Models
por: Yoo, KiYoon, et al.
Publicado: (2023)

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

FIT to Forget: Robust Continual Unlearning for Large Language Models
por: Xu, Xiaoyu, et al.
Publicado: (2026)

OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models
por: Xu, Xiaoyu, et al.
Publicado: (2025)

Probing the Robustness of Large Language Models Safety to Latent Perturbations
por: Gu, Tianle, et al.
Publicado: (2025)

Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation
por: Naseh, Ali, et al.
Publicado: (2025)

Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models
por: Yuan, Hongbang, et al.
Publicado: (2024)

Watermarking Language Models for Many Adaptive Users
por: Cohen, Aloni, et al.
Publicado: (2024)

Throttling Web Agents Using Reasoning Gates
por: Kumar, Abhinav, et al.
Publicado: (2025)

OverThink: Slowdown Attacks on Reasoning LLMs
por: Kumar, Abhinav, et al.
Publicado: (2025)

Building Intelligence Identification System via Large Language Model Watermarking: A Survey and Beyond
por: Wang, Xuhong, et al.
Publicado: (2024)

Invariant-based Robust Weights Watermark for Large Language Models
por: Guo, Qingxiao, et al.
Publicado: (2025)

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

InvisMark: Invisible and Robust Watermarking for AI-generated Image Provenance
por: Xu, Rui, et al.
Publicado: (2024)

Multilingual and Multi-Accent Jailbreaking of Audio LLMs
por: Roh, Jaechul, et al.
Publicado: (2025)

Watermarking Diffusion Language Models
por: Gloaguen, Thibaud, et al.
Publicado: (2025)

A High-Capacity and Secure Disambiguation Algorithm for Neural Linguistic Steganography
por: Feng, Yapei, et al.
Publicado: (2025)

Functional Invariants to Watermark Large Transformers
por: Fernandez, Pierre, et al.
Publicado: (2023)

Context-Aware Membership Inference Attacks against Pre-trained Large Language Models
por: Chang, Hongyan, et al.
Publicado: (2024)

EmMark: Robust Watermarks for IP Protection of Embedded Quantized Large Language Models
por: Zhang, Ruisi, et al.
Publicado: (2024)

VideoMarkBench: Benchmarking Robustness of Video Watermarking
por: Jiang, Zhengyuan, et al.
Publicado: (2025)

On Adversarial Robustness of Language Models in Transfer Learning
por: Turbal, Bohdan, et al.
Publicado: (2024)

MarkTune: Improving the Quality-Detectability Trade-off in Open-Weight LLM Watermarking
por: Zhao, Yizhou, et al.
Publicado: (2025)

FreeMark: A Non-Invasive White-Box Watermarking for Deep Neural Networks
por: Chen, Yuzhang, et al.
Publicado: (2024)

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

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