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We show the viability of tackling misuses of large language models beyond the identification of machine-generated text.
Block coding with noiseless feedback
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Reed-Solomon codes and their applications
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Natural language watermarking: Design, analysis, and a proof-of-concept implementation
Mikhail J Atallah, Victor Raskin, Michael Crogan, Christian Hempelmann, Florian Kerschbaum, Dina Mohamed, and Sanket Naik. 2001 · 2001
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List decoding of error-correcting codes: winning thesis of the 2002 ACM doctoral dissertation competition , volume 3282
Venkatesan Guruswami. 2004 · 2002
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A survey of digital image watermarking techniques
Vidyasagar M Potdar, Song Han, and Elizabeth Chang. 2005 · 2005
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Natural language watermarking
Mercan Topkara, Cuneyt M Taskiran, and Edward J Delp III. 2005 · 2005
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Explicit codes achieving list decoding capacity: Error-correction with optimal redundancy
Venkatesan Guruswami and Atri Rudra. 2008 · 2008
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Digital image steganography: Survey and analysis of current methods
Abbas Cheddad, Joan Condell, Kevin Curran, and Paul Mc Kevitt. 2010 · 2010
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Twenty years of digital audio watermarking—a comprehensive review
Guang Hua, Jiwu Huang, Yun Q Shi, Jonathan Goh, and Vrizlynn LL Thing. 2016 · 2016
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Pointer sentinel mixture models
Stephen Merity, Caiming Xiong, James Bradbury, and Richard Socher. 2016 · 2016
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An overview of digital video watermarking
Md Asikuzzaman and Mark R Pickering. 2017 · 2017
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Generating steganographic text with lstms
Tina Fang, Martin Jaggi, and Katerina Argyraki. 2017 · 2017
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Analyzing the digital traces of political manipulation: The 2016 russian interference twitter campaign
Adam Badawy, Emilio Ferrara, and Kristina Lerman. 2018 · 2018
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Hidden: Hiding data with deep networks
Jiren Zhu, Russell Kaplan, Justin Johnson, and Li Fei-Fei. 2018 · 2018
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Neural linguistic steganography
Zachary Ziegler, Yuntian Deng, and Alexander M Rush. 2019 · 2019
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Distortion agnostic deep watermarking
Xiyang Luo, Ruohan Zhan, Huiwen Chang, Feng Yang, and Peyman Milanfar. 2020 · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu. 2020 · 2020
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Adversarial watermarking transformer: Towards tracing text provenance with data hiding
Binary error-correcting codes with minimal noiseless feedback
Meghal Gupta, Venkatesan Guruswami, and Rachel Yun Zhang. 2023 · 2023
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Chatgpt sets record for fastest-growing user base - analyst note
Krystal Hu. 2023 · 2023
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Unbiased watermark for large language models
Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, and Heng Huang. 2023 · 2023
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Albert Q Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, et al. 2023 · 2023
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Paraphrasing evades detectors of ai-generated text, but retrieval is an effective defense
Kalpesh Krishna, Yixiao Song, Marzena Karpinska, John Wieting, and Mohit Iyyer. 2023 · 2023
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Sahar Abdelnabi and Mario Fritz. 2021 · 2021
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Protecting intellectual property of language generation apis with lexical watermark
Xuanli He, Qiongkai Xu, Lingjuan Lyu, Fangzhao Wu, and Chenguang Wang. 2022 · 2022
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A downward spiral? a panel study of misinformation and media trust in chile
Sebastián Valenzuela, Daniel Halpern, and Felipe Araneda. 2022 · 2022
Cited alongside, same era.
Paraphrastic representations at scale
John Wieting, Kevin Gimpel, Graham Neubig, and Taylor Berg-Kirkpatrick. 2022 · 2022
Cited alongside, same era.
Tracing text provenance via context-aware lexical substitution
Xi Yang, Jie Zhang, Kejiang Chen, Weiming Zhang, Zehua Ma, Feng Wang, and Nenghai Yu. 2022 · 2022
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Opt: Open pre-trained transformer language models
Susan Zhang, Stephen Roller, Naman Goyal, Mikel Artetxe, Moya Chen, Shuohui Chen, Christopher Dewan, Mona Diab, Xian Li, Xi Victoria Lin, et al. 2022 · 2022
Cited alongside, same era.
Watermarking gpt outputs
Scott Aaronson and Hendrik Kirchner. 2023 · 2023
Cited alongside, same era.
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Robust distortion-free watermarks for language models
Rohith Kuditipudi, John Thickstun, Tatsunori Hashimoto, and Percy Liang. 2023 · 2023
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Who wrote this code? watermarking for code generation
Taehyun Lee, Seokhee Hong, Jaewoo Ahn, Ilgee Hong, Hwaran Lee, Sangdoo Yun, Jamin Shin, and Gunhee Kim. 2023 · 2023
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Detectgpt: Zero-shot machine-generated text detection using probability curvature
Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D Manning, and Chelsea Finn. 2023 · 2023
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Travis Munyer and Xin Zhong. 2023 · 2023
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Propaganda and misinformation on facebook and twitter during the russian invasion of ukraine
Francesco Pierri, Luca Luceri, Nikhil Jindal, and Emilio Ferrara. 2023 · 2023
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Huggingface datasets: Christophschuhmann/essays-with-instructions
Christoph Schuhmann. 2022 · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al. 2023 · 2023
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Waterbench: Towards holistic evaluation of watermarks for large language models
Shangqing Tu, Yuliang Sun, Yushi Bai, Jifan Yu, Lei Hou, and Juanzi Li. 2023 · 2023
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A recipe for watermarking diffusion models
Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Ngai-Man Cheung, and Min Lin. 2023 · 2023
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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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