{"total":49,"rows":[{"id":"2402.14904","title":"Watermarking Makes Language Models Radioactive","created":"2024-02-22","cited_by_count":58,"area":"safety"},{"id":"2403.04808","title":"WaterMax: breaking the LLM watermark detectability-robustness-quality trade-off","created":"2024-03-06","cited_by_count":54,"area":"safety"},{"id":"2411.18479","title":"SoK: Watermarking for AI-Generated Content","created":"2024-11-27","cited_by_count":51,"area":"safety"},{"id":"2406.01946","title":"Bileve: Securing Text Provenance in Large Language Models Against Spoofing with Bi-level Signature","created":"2024-06-04","cited_by_count":25,"area":"safety"},{"id":"2410.02890","title":"Theoretically Grounded Framework for LLM Watermarking: A Distribution-Adaptive Approach","created":"2024-10-03","cited_by_count":22,"area":"safety"},{"id":"2505.05190","title":"Revealing Weaknesses in Text Watermarking Through Self-Information Rewrite Attacks","created":"2025-05-08","cited_by_count":18,"area":"safety"},{"id":"2509.21057","title":"PMark: Towards Robust and Distortion-free Semantic-level Watermarking with Channel Constraints","created":"2025-09-25","cited_by_count":16,"area":"safety"},{"id":"2410.06467","title":"WAPITI: A Watermark for Finetuned Open-Source LLMs","created":"2024-10-09","cited_by_count":12,"area":"safety"},{"id":"2504.06575","title":"Defending LLM Watermarking Against Spoofing Attacks with Contrastive Representation Learning","created":"2025-04-09","cited_by_count":10,"area":"safety"},{"id":"2505.16934","title":"In-Context Watermarks for Large Language Models","created":"2025-05-22","cited_by_count":10,"area":"safety"},{"id":"2505.08878","title":"Optimized Couplings for Watermarking Large Language Models","created":"2025-05-13","cited_by_count":9,"area":"safety"},{"id":"2404.02138","title":"Topic-Based Watermarks for Large Language Models","created":"2024-04-02","cited_by_count":8,"area":"safety"},{"id":"2411.05091","title":"Watermarking Language Models through Language Models","created":"2024-11-07","cited_by_count":8,"area":"safety"},{"id":"2506.01011","title":"Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack","created":"2025-06-01","cited_by_count":8,"area":"safety"},{"id":"2510.18333","title":"Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption","created":"2025-10-21","cited_by_count":7,"area":"safety"},{"id":"2605.10977","title":"PASA: A Principled Embedding-Space Watermarking Approach for LLM-Generated Text under Semantic-Invariant Attacks","created":"2026-05-09","cited_by_count":7,"area":"safety"},{"id":"2402.07518","title":"Efficient and Universal Watermarking for LLM-Generated Code Detection","created":"2024-02-12","cited_by_count":6,"area":"safety"},{"id":"2509.24043","title":"An Ensemble Framework for Unbiased Language Model Watermarking","created":"2025-09-28","cited_by_count":6,"area":"safety"},{"id":"2605.12456","title":"TextSeal: A Localized LLM Watermark for Provenance & Distillation Protection","created":"2026-05-12","cited_by_count":5,"area":"safety"},{"id":"2410.20670","title":"Segmenting Watermarked Texts From Language Models","created":"2024-10-28","cited_by_count":4,"area":"safety"},{"id":"2510.02902","title":"DMark: Order-Agnostic Watermarking for Diffusion Large Language Models","created":"2025-10-03","cited_by_count":4,"area":"safety"},{"id":"2504.03765","title":"Watermarking for AI Content Detection: A Review on Text, Visual, and Audio Modalities","created":"2025-04-02","cited_by_count":3,"area":"safety"},{"id":"2506.07403","title":"Enhancing Watermarking Quality for LLMs via Contextual Generation States Awareness","created":"2025-06-09","cited_by_count":3,"area":"safety"},{"id":"2510.02342","title":"CATMark: A Context-Aware Thresholding Framework for Robust Cross-Task Watermarking in Large Language Models","created":"2025-09-27","cited_by_count":3,"area":"safety"},{"id":"2410.19096","title":"Watermarking Large Language Models and the Generated Content: Opportunities and Challenges","created":"2024-10-24","cited_by_count":2,"area":"safety"},{"id":"2506.05594","title":"SoK: Are Watermarks in LLMs Ready for Deployment?","created":"2025-06-05","cited_by_count":2,"area":"safety"},{"id":"2510.26274","title":"PVMark: Enabling Public Verifiability for LLM Watermarking Schemes","created":"2025-10-30","cited_by_count":2,"area":"safety"},{"id":"2512.16904","title":"How Good is Post-Hoc Watermarking With Language Model Rephrasing?","created":"2025-12-18","cited_by_count":2,"area":"safety"},{"id":"2605.05443","title":"SLAM: Structural Linguistic Activation Marking for Language Models","created":"2026-05-06","cited_by_count":2,"area":"safety"},{"id":"2506.06409","title":"HeavyWater and SimplexWater: Distortion-Free LLM Watermarks for Low-Entropy Next-Token Predictions","created":"2025-06-06","cited_by_count":1,"area":"safety"},{"id":"2507.08288","title":"Invariant-based Robust Weights Watermark for Large Language Models","created":"2025-07-11","cited_by_count":1,"area":"safety"},{"id":"2508.11925","title":"Optimizing Token Choice for Code Watermarking: An RL Approach","created":"2025-08-16","cited_by_count":1,"area":"safety"},{"id":"2510.15976","title":"Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization","created":"2025-10-13","cited_by_count":1,"area":"safety"},{"id":"2512.01314","title":"TokenPure: Watermark Removal through Tokenized Appearance and Structural Guidance","created":"2025-12-01","cited_by_count":1,"area":"safety"},{"id":"2605.23175","title":"Robust LLM Watermarking with Minimal Semantic Distortion for IP Protection","created":"2026-05-22","cited_by_count":1,"area":"safety"},{"id":"2607.10103","title":"LLM Watermarking as Big Data Provenance: A Deployment-Oriented Systematization","created":"2026-07-11","cited_by_count":1,"area":"safety"},{"id":"2608.12713","title":"Tracing Provenance and Detecting Tampering with Complementary LLM Watermarks","created":"2026-08-13","cited_by_count":1,"area":"safety"},{"id":"2407.13803","title":"Less is More: Sparse Watermarking in LLMs with Enhanced Text Quality","created":"2024-07-17","cited_by_count":0,"area":"safety"},{"id":"2503.20802","title":"CEFW: A Comprehensive Evaluation Framework for Watermark in Large Language Models","created":"2025-03-24","cited_by_count":0,"area":"safety"},{"id":"2511.06645","title":"Adaptive Testing for Segmenting Watermarked Texts From Language Models","created":"2025-11-10","cited_by_count":0,"area":"safety"},{"id":"2511.13722","title":"Signature vs. Substance: Evaluating the Balance of Adversarial Resistance and Linguistic Quality in Watermarking Large Language Models","created":"2025-08-11","cited_by_count":0,"area":"safety"},{"id":"2512.19378","title":"HATS: High-Accuracy Triple-Set Watermarking for Large Language Models","created":"2025-12-22","cited_by_count":0,"area":"safety"},{"id":"2603.03410","title":"On Google's SynthID-Text LLM Watermarking System: Theoretical Analysis and Empirical Validation","created":"2026-03-03","cited_by_count":0,"area":"safety"},{"id":"2604.08759","title":"Optimal Multi-bit Generative Watermarking Schemes Under Worst-Case False-Alarm Constraints","created":"2026-04-09","cited_by_count":0,"area":"safety"},{"id":"2608.18102","title":"Stability-Aware Feature Design for Robust Watermark Detection in Machine-Generated Text","created":"2026-06-09","cited_by_count":0,"area":"safety"},{"id":"2608.27899","title":"OpenStamp: A Watermark for Open-Source Language Models","created":"2026-08-28","cited_by_count":0,"area":"safety"},{"id":"2608.29030","title":"Learning to Follow In-Context Watermark Instructions via Self-Distillation","created":"2026-08-29","cited_by_count":0,"area":"safety"},{"id":"2608.29575","title":"SemTrace: Source-Grounded Semantic Signatures for Tracing LLM Exposure to Protected Documents","created":"2026-08-30","cited_by_count":0,"area":"safety"},{"id":"2610.04169","title":"Language Model Fingerprinting Requires Rethinking Watermark Teachers","created":"2026-10-03","cited_by_count":0,"area":"safety"}],"next_cursor":null}