Who cites «On the Reliability of Watermarks for Large Language Models»
- A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the UglyarXiv:2312.02003Yifan Yao, Jinhao Duan, Kaidi Xu, et al.2023 · 1,186 citations
- "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language ModelsarXiv:2308.03825Xinyue Shen, Zeyuan Chen, Michael Backes, et al.2023 · 329 citations
- Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defenseConference on Neural Information Processing Systems (NeurIPS)Kalpesh Krishna, Yixiao Song, Marzena Karpinska, et al.2023 · 310 citations
- Can AI-Generated Text be Reliably Detected?arXiv:2303.11156Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian, et al.2023 · 306 citations
- Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
- A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future DirectionsComputational LinguisticsJunchao Wu, Shu Yang, Runzhe Zhan, et al.2025 · 277 citations
- TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
- Baseline Defenses for Adversarial Attacks Against Aligned Language ModelsarXiv:2309.00614Neel Jain, Avi Schwarzschild, Yuxin Wen, et al.2023 · 236 citations
- Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' AlignmentarXiv:2308.05374Yang Liu; Yuanshun Yao; Jean-Francois Ton; Xiaoying Zhang; Ruocheng Guo; Hao Cheng; Yegor Klochkov; Muhammad Faaiz Taufiq;, Hang Li2023 · 223 citations
- Who Wrote this Code? Watermarking for Code GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Taehyun Lee, Seokhee Hong, Jaewoo Ahn, et al.2024 · 103 citations
- Foundational Challenges in Assuring Alignment and Safety of Large Language ModelsarXiv:2404.09932Usman Anwar, Abulhair Saparov, Javier Rando, et al.2024 · 87 citations
- Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation?Annual Meeting of the Association for Computational Linguistics (ACL)Leyi Pan, Aiwei Liu, Shiyu Huang, et al.2025 · 11 citations
- Corpus and Baselines for Distinguishing Authentic, AI-Generated, and AI-Enhanced ResumesLanguage Resources and Evaluation Conference (LREC)Andrea Loizidou, Anshu Kiran Sharma, Adrian Esquivel, et al.2026
- Knowledge-Infused Multi-Bit Watermarking for RAG Knowledge BasesFindings of the Association for Computational LinguisticsKe Yang, Shuguang Yuan, Jing Yu, et al.2026
- LR-DWM: Efficient Watermarking for Diffusion Language ModelsFindings of the Association for Computational LinguisticsOfek Raban, Gal Chechik, Ethan Fetaya2026
- QuantileMark: A Message-Symmetric Multi-bit Watermark for LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Junlin Zhu, Baizhou Huang, Xiaojun Wan2026
- SWAN: Semantic Watermarking with Abstract Meaning RepresentationAnnual Meeting of the Association for Computational Linguistics (ACL)Ziping Ye, Gourab Dey, Christos Christodoulopoulos, et al.2026
- The Mark Fades: Adaptive Evolutionary Paraphrase-based Attack against LLM WatermarksFindings of the Association for Computational LinguisticsYusheng Zhao, Jian Zhao, Tianle Zhang, et al.2026
- XMark: Reliable Multi-Bit Watermarking for LLM-Generated TextsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiahao Xu, Rui Hu, Olivera Kotevska, et al.2026
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