:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lin, Junhua, Juarez, Marc
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Machine Learning
Online Access:	https://arxiv.org/abs/2506.10502
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Leveraging Optimization for Adaptive Attacks on Image Watermarks
by: Lukas, Nils, et al.
Published: (2023)

On the Difficulty of Constructing a Robust and Publicly-Detectable Watermark
by: Fairoze, Jaiden, et al.
Published: (2025)

SoK: What Makes Private Learning Unfair?
by: Yao, Kai, et al.
Published: (2025)

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

Blind Visible Watermark Removal with Morphological Dilation
by: Robinette, Preston K., et al.
Published: (2025)

Watermarking Decision Tree Ensembles
by: Calzavara, Stefano, et al.
Published: (2024)

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

Distortion-free Watermarks are not Truly Distortion-free under Watermark Key Collisions
by: Wu, Yihan, et al.
Published: (2024)

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

Watermarking Generative Categorical Data
by: Gu, Bochao, et al.
Published: (2024)

Refined Detection for Gumbel Watermarking
by: Lattimore, Tor
Published: (2026)

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

Leveraging Vertical Public-Private Split for Improved Synthetic Data Generation
by: Maddock, Samuel, et al.
Published: (2025)

Hashed Watermark as a Filter: Defeating Forging and Overwriting Attacks in Weight-based Neural Network Watermarking
by: Yao, Yuan, et al.
Published: (2025)

Towards Watermarking of Open-Source LLMs
by: Gloaguen, Thibaud, et al.
Published: (2025)

Provable Watermarking for Data Poisoning Attacks
by: Zhu, Yifan, et al.
Published: (2025)

Is The Watermarking Of LLM-Generated Code Robust?
by: Suresh, Tarun, et al.
Published: (2024)

Signal Watermark on Large Language Models
by: Xu, Zhenyu, et al.
Published: (2024)

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

Watermarking Counterfactual Explanations
by: Guo, Hangzhi, et al.
Published: (2024)

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

Traceable Black-box Watermarks for Federated Learning
by: Xu, Jiahao, et al.
Published: (2025)

LLM Fingerprinting via Semantically Conditioned Watermarks
by: Gloaguen, Thibaud, et al.
Published: (2025)

Robust Spectral Watermark for Synthetic Tabular Data
by: Zhao, Yizhou, et al.
Published: (2025)

Black-Box Detection of Language Model Watermarks
by: Gloaguen, Thibaud, et al.
Published: (2024)

MEA-Defender: A Robust Watermark against Model Extraction Attack
by: Lv, Peizhuo, et al.
Published: (2024)

Breaking Distortion-free Watermarks in Large Language Models
by: Reynolds, Shayleen, et al.
Published: (2025)

LLM Watermarking Using Mixtures and Statistical-to-Computational Gaps
by: Abdalla, Pedro, et al.
Published: (2025)

DRGW: Learning Disentangled Representations for Robust Graph Watermarking
by: Li, Jiasen, et al.
Published: (2026)

GENIE: Watermarking Graph Neural Networks for Link Prediction
by: Bachina, Venkata Sai Pranav, et al.
Published: (2024)

Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models
by: Zhang, Hanlin, et al.
Published: (2023)

Watermarking Generative Tabular Data
by: He, Hengzhi, et al.
Published: (2024)

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

SimKey: A Semantically Aware Key Module for Watermarking Language Models
by: Kodama, Shingo, et al.
Published: (2025)

Robust GNN Watermarking via Implicit Perception of Topological Invariants
by: Li, Jipeng, et al.
Published: (2025)

Elevating Defenses: Bridging Adversarial Training and Watermarking for Model Resilience
by: Thakkar, Janvi, et al.
Published: (2023)

SWaRL: Safeguard Code Watermarking via Reinforcement Learning
by: Javidnia, Neusha, et al.
Published: (2026)

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

DeepTracer: Tracing Stolen Model via Deep Coupled Watermarks
by: Yang, Yunfei, et al.
Published: (2025)

LoRAGuard: An Effective Black-box Watermarking Approach for LoRAs
by: Lv, Peizhuo, et al.
Published: (2025)