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Protecting intellectual property (IP) of text such as articles and code is increasingly important, especially as sophisticated attacks become possible, such as paraphrasing by large language models (LLMs) or even unauthorized training of LLMs on copyrighted text to infringe such IP.
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Milad Taleby Ahvanooey, Qianmu Li, Jun Hou, Ahmed Raza Rajput, and Yini Chen. 2019 · 2019
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Paraphrasing with large language models
Sam Witteveen, Red Dragon AI, and Martin Andrews. 2019 · 2019
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Natural language watermarking via paraphraser-based lexical substitution
Jipeng Qiang, Shiyu Zhu, Yun Li, Yi Zhu, Yunhao Yuan, and Xindong Wu. 2023 · 2023
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Reflexion: Language agents with verbal reinforcement learning
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A framework for few-shot language model evaluation
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Frustratingly easy edit-based linguistic steganography with a masked language model
Honai Ueoka, Yugo Murawaki, and Sadao Kurohashi. 2021 · 2021
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Chain-of-thought prompting elicits reasoning in large language models
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Multi-lingual evaluation of code generation models
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Plagiarism-bot? How low-quality websites are using ai to deceptively rewrite content from mainstream news outlets
Jack Brewster, Macrina Wang, and Coalter Palmer. 2023 · 2023
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Xi Yang, Kejiang Chen, Weiming Zhang, Chang Liu, Yuang Qi, Jie Zhang, Han Fang, and Nenghai Yu. 2023 · 2023
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Remark-llm: A robust and efficient watermarking framework for generative large language models
Ruisi Zhang, Shehzeen Samarah Hussain, Paarth Neekhara, and Farinaz Koushanfar. 2023 · 2023
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Protecting language generation models via invisible watermarking
Xuandong Zhao, Yu-Xiang Wang, and Lei Li. 2023 · 2023
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Postmark: A robust blackbox watermark for large language models
Yapei Chang, Kalpesh Krishna, Amir Houmansadr, John Wieting, and Mohit Iyyer. 2024 · 2024
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Srcmarker: Dual-channel source code watermarking via scalable code transformations
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Robust multi-bit natural language watermarking through invariant features
KiYoon Yoo, Wonhyuk Ahn, Jiho Jang, and Nojun Kwak. 2023 · 2092
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