:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Lin, Huijia, Shahabi, Kameron, Song, Min Jae
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Cryptography and Security Artificial Intelligence Machine Learning
Accesso online:	https://arxiv.org/abs/2602.15323
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Ideal Attribution and Faithful Watermarks for Language Models
di: Song, Min Jae, et al.
Pubblicazione: (2025)

RoboSignature: Robust Signature and Watermarking on Network Attacks
di: Shaan, Aryaman, et al.
Pubblicazione: (2024)

Robust Safety Monitoring of Language Models via Activation Watermarking
di: Aremu, Toluwani, et al.
Pubblicazione: (2026)

Watermarking Diffusion Language Models
di: Gloaguen, Thibaud, et al.
Pubblicazione: (2025)

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

Edit Distance Robust Watermarks via Indexing Pseudorandom Codes
di: Golowich, Noah, et al.
Pubblicazione: (2024)

Discovering Spoofing Attempts on Language Model Watermarks
di: Gloaguen, Thibaud, et al.
Pubblicazione: (2024)

An Undetectable Watermark for Generative Image Models
di: Gunn, Sam, et al.
Pubblicazione: (2024)

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

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

PostMark: A Robust Blackbox Watermark for Large Language Models
di: Chang, Yapei, et al.
Pubblicazione: (2024)

Explanation as a Watermark: Towards Harmless and Multi-bit Model Ownership Verification via Watermarking Feature Attribution
di: Shao, Shuo, et al.
Pubblicazione: (2024)

Differentially Private Publication of Electricity Time Series Data in Smart Grids
di: Shaham, Sina, et al.
Pubblicazione: (2024)

Mitigating Watermark Forgery in Generative Models via Randomized Key Selection
di: Aremu, Toluwani, et al.
Pubblicazione: (2025)

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

Protecting Copyright of Medical Pre-trained Language Models: Training-Free Backdoor Model Watermarking
di: Kong, Cong, et al.
Pubblicazione: (2024)

Watermarking Makes Language Models Radioactive
di: Sander, Tom, et al.
Pubblicazione: (2024)

Security and Detectability Analysis of Unicode Text Watermarking Methods Against Large Language Models
di: Hellmeier, Malte
Pubblicazione: (2025)

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

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

Ward: Provable RAG Dataset Inference via LLM Watermarks
di: Jovanović, Nikola, et al.
Pubblicazione: (2024)

SoK: Watermarking for AI-Generated Content
di: Zhao, Xuandong, et al.
Pubblicazione: (2024)

SWAP: Towards Copyright Auditing of Soft Prompts via Sequential Watermarking
di: Yang, Wenyuan, et al.
Pubblicazione: (2025)

Generative Models are Self-Watermarked: Declaring Model Authentication through Re-Generation
di: Desu, Aditya, et al.
Pubblicazione: (2024)

Double-I Watermark: Protecting Model Copyright for LLM Fine-tuning
di: Li, Shen, et al.
Pubblicazione: (2024)

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

A Unified Framework for LLM Watermarks
di: Gloaguen, Thibaud, et al.
Pubblicazione: (2026)

CLASP: Training-Free LLM-Assisted Source Code Watermarking via Semantic-Preserving Transformations
di: Xu, Rui, et al.
Pubblicazione: (2025)

Sigil: Server-Enforced Watermarking in U-Shaped Split Federated Learning via Gradient Injection
di: Dai, Zhengchunmin, et al.
Pubblicazione: (2025)

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

Watermarking across Modalities for Content Tracing and Generative AI
di: Fernandez, Pierre
Pubblicazione: (2025)

FLClear: Visually Verifiable Multi-Client Watermarking for Federated Learning
di: Gu, Chen, et al.
Pubblicazione: (2025)

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

PoLO: Proof-of-Learning and Proof-of-Ownership at Once with Chained Watermarking
di: Deng, Haiyu, et al.
Pubblicazione: (2025)

Topological Signatures of Adversaries in Multimodal Alignments
di: Vu, Minh, et al.
Pubblicazione: (2025)

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

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

SPRINT: Robust Model Attribution of Generated Images via Secret Pixel Reconstruction
di: Yao, Kai, et al.
Pubblicazione: (2025)

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

Reconstructing Training Data from Adapter-based Federated Large Language Models
di: Chen, Silong, et al.
Pubblicazione: (2026)