Cover Image

Disappearing Ink: Obfuscation Breaks N-gram Code Watermarks in Theory and Practice

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Gehao, Bagdasarian, Eugene, Zhai, Juan, Ma, Shiqing
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Marking Code Without Breaking It: Code Watermarking for Detecting LLM-Generated Code
by: Kim, Jungin, et al.
Published: (2025)

StealthInk: A Multi-bit and Stealthy Watermark for Large Language Models
by: Jiang, Ya, et al.
Published: (2025)

Network-Level Prompt and Trait Leakage in Local Research Agents
by: Jeong, Hyejun, et al.
Published: (2025)

An Empirical Study of Code Obfuscation Practices in the Google Play Store
by: Niroshan, Akila, et al.
Published: (2025)

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

Vaporizer: Breaking Watermarking Schemes for Large Language Model Outputs
by: Ng, Jonathan Hong Jin, et al.
Published: (2026)

Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation
by: Mohseni, Seyedreza, et al.
Published: (2024)

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

The Invisible Hand: Unveiling Provider Bias in Large Language Models for Code Generation
by: Zhang, Xiaoyu, et al.
Published: (2025)

Self-interpreting Adversarial Images
by: Zhang, Tingwei, et al.
Published: (2024)

The Coding Limits of Robust Watermarking for Generative Models
by: Francati, Danilo, et al.
Published: (2025)

CODE ACROSTIC: Robust Watermarking for Code Generation
by: Lin, Li, et al.
Published: (2025)

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

Obfuscated Memory Malware Detection
by: P, Sharmila S, et al.
Published: (2024)

False Friends in the Shell: Unveiling the Emoticon Semantic Confusion in Large Language Models
by: Jiang, Weipeng, et al.
Published: (2026)

Mechanistic Interpretability in the Presence of Architectural Obfuscation
by: Florencio, Marcos, et al.
Published: (2025)

Coward: Collision-based OOD Watermarking for Practical Proactive Federated Backdoor Detection
by: Li, Wenjie, et al.
Published: (2025)

From Theory to Practice: Code Generation Using LLMs for CAPEC and CWE Frameworks
by: Shahzad, Murtuza, et al.
Published: (2026)

Towards Privacy-Preserving LLM Inference via Covariant Obfuscation (Technical Report)
by: Lin, Yu, et al.
Published: (2026)

Breaking the Code: Security Assessment of AI Code Agents Through Systematic Jailbreaking Attacks
by: Saha, Shoumik, et al.
Published: (2025)

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

Beyond A Fixed Seal: Adaptive Stealing Watermark in Large Language Models
by: Zhang, Shuhao, et al.
Published: (2026)

Character-Level Perturbations Disrupt LLM Watermarks
by: Zhang, Zhaoxi, et al.
Published: (2025)

Trusted Machine Learning Models Unlock Private Inference for Problems Currently Infeasible with Cryptography
by: Shumailov, Ilia, et al.
Published: (2025)

SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks
by: Zhang, Kaiyuan, et al.
Published: (2025)

Babel: Jailbreaking Safety Attention via Obfuscation Distribution Optimized Sampling
by: Wang, Ziwei, et al.
Published: (2026)

Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization
by: Wang, Chenrui, et al.
Published: (2025)

Can Reasoning Models Obfuscate Reasoning? Stress-Testing Chain-of-Thought Monitorability
by: Zolkowski, Artur, et al.
Published: (2025)

FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation
by: Gu, Hanlin, et al.
Published: (2024)

Is Your Writing Being Mimicked by AI? Unveiling Imitation with Invisible Watermarks in Creative Writing
by: Zhang, Ziwei, et al.
Published: (2025)

Can LLMs Deeply Detect Complex Malicious Queries? A Framework for Jailbreaking via Obfuscating Intent
by: Shang, Shang, et al.
Published: (2024)

Large Language Model Watermark Stealing With Mixed Integer Programming
by: Zhang, Zhaoxi, et al.
Published: (2024)

TokenMark: A Modality-Agnostic Watermark for Pre-trained Transformers
by: Xu, Hengyuan, et al.
Published: (2024)

Purify Once, Edit Freely: Breaking Image Protections under Model Mismatch
by: Zhao, Qichen, et al.
Published: (2026)

Your Semantic-Independent Watermark is Fragile: A Semantic Perturbation Attack against EaaS Watermark
by: Fei, Zekun, et al.
Published: (2024)

AgentMark: Utility-Preserving Behavioral Watermarking for Agents
by: Huang, Kaibo, et al.
Published: (2026)

Detecting Benchmark Contamination Through Watermarking
by: Sander, Tom, et al.
Published: (2025)

Sequential Behavioral Watermarking for LLM Agents
by: An, Hyeseon, et al.
Published: (2026)

Probabilistically Robust Watermarking of Neural Networks
by: Pautov, Mikhail, et al.
Published: (2024)

A Survey of Fragile Model Watermarking
by: Gao, Zhenzhe, et al.
Published: (2024)