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Recent AI systems have shown extremely powerful performance, even surpassing human performance, on various tasks such as information retrieval, language generation, and image generation based on large language models (LLMs).
Synthetic data generators–sequential and private
Olivier Bousquet, Roi Livni, and Shay Moran · 2020
Earlier work this paper cites.
Emerging properties in self-supervised vision transformers
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, and Armand Joulin · 2021
Earlier work this paper cites.
4 types of intellectual property rights protection (definitions & examples), 2021
Cueto Law Group · 2021
Earlier work this paper cites.
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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17 u.s. code § 106 - exclusive rights in copyrighted works, 2022
Cornell Law School Legal Information Institute · 2022
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
Earlier work this paper cites.
Improving image generation with better captions
James Betker, Gabriel Goh, Li Jing, Tim Brooks, Jianfeng Wang, Linjie Li, Long Ouyang, Juntang Zhuang, Joyce Lee, Yufei Guo, et al · 2023
Earlier work this paper cites.
Extracting training data from diffusion models
Nicolas Carlini, Jamie Hayes, Milad Nasr, Matthew Jagielski, Vikash Sehwag, Florian Tramer, Borja Balle, Daphne Ippolito, and Eric Wallace · 2023
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Getty images v stability ai: copyright claims can proceed to trial
Gill Dennis · 2023
Earlier work this paper cites.
Can copyright be reduced to privacy?
Niva Elkin-Koren, Uri Hacohen, Roi Livni, and Shay Moran · 2023
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Erasing concepts from diffusion models
Rohit Gandikota, Joanna Materzynska, Jaden Fiotto-Kaufman, and David Bau · 2023
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The times sues openai and microsoft over a.i. use of copyrighted work
Michael M. Grynbaum and Ryan Mac · 2023
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Ablating concepts in text-to-image diffusion models
Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, and Jun-Yan Zhu · 2023
Cited alongside, same era.
Black box adversarial prompting for foundation models
Natalie Maus, Patrick Chao, Eric Wong, and Jacob Gardner · 2023
Cited alongside, same era.
What visual and graphic artists should know about copyright, 2023
U.S. Copyright Office · 2023
Cited alongside, same era.
We’ve filed law suits challenging ai image generators for using artists’ work without consent, credit, or compensation. because ai needs to be fair & ethical for everyone
Joseph Saveri and Matthew Butterick · 2023
Cited alongside, same era.
Safe latent diffusion: Mitigating inappropriate degeneration in diffusion models
Patrick Schramowski, Manuel Brack, Björn Deiseroth, and Kristian Kersting · 2023
Cited alongside, same era.
Scaling rectified flow transformers for high-resolution image synthesis
Patrick Esser, Sumith Kulal, Andreas Blattmann, Rahim Entezari, Jonas Muller, Harry Saini, Yam Levi, Dominik Lorenz, Axel Sauer, Frederic Boesel, et al · 2024
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Cpr: Retrieval augmented generation for copyright protection
Aditya Golatkar, Alessandro Achille, Luca Zancato, Yu-Xiang Wang, Ashwin Swaminathan, and Stefano Soatto · 2024
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Visual instruction tuning
Haotian Liu, Chunyuan Li, Qingyang Wu, and Yong Jae Lee · 2024
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Microsoft copilot
Microsoft · 2024
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Midjourney
MidJourney · 2024
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Copyright basics, 2024
U.S. Patent and Trademark Office · 2024
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Glaze: Protecting artists from style mimicry by text-to-image models
Shawn Shan, Jenna Cryan, Emily Wenger, Haitao Zheng, Rana Hanocka, and Ben Y Zhao · 2023
Cited alongside, same era.
Gemini: a family of highly capable multimodal models
Gemini Team, Rohan Anil, Sebastian Borgeaud, Yonghui Wu, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M Dai, Anja Hauth, et al · 2023
Cited alongside, same era.
On provable copyright protection for generative models
Nikhil Vyas, Sham M Kakade, and Boaz Barak · 2023
Cited alongside, same era.
Investigating copyright issues of diffusion models under practical scenarios
Yang Zhang, Teoh Tze Tzun, Lim Wei Hern, Haonan Wang, and Kenji Kawaguchi · 2023
Cited alongside, same era.
Copyright protection and accountability of generative ai: Attack, watermarking and attribution
Haonan Zhong, Jiamin Chang, Ziyue Yang, Tingmin Wu, Pathum Chamikara Mahawaga Arachchige, Chehara Pathmabandu, and Minhui Xue · 2023
Cited alongside, same era.
An economic solution to copyright challenges of generative ai
Zhun Deng, Hiroaki Chiba-Okabe, Boaz Barak, Weijie J Su, et al · 2024
Cited alongside, same era.
Diffusion art or digital forgery? investigating data replication in diffusion models
Gowthami Somepalli, Vasu Singla, Micah Goldblum, Jonas Geiping, and Tom Goldstein
Cited in the paper.
Diagnosis: Detecting unauthorized data usages in text-to-image diffusion models
Zhenting Wang, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, and Shiqing Ma · 2024
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Jailbroken: How does llm safety training fail?
Alexander Wei, Nika Haghtalab, and Jacob Steinhardt · 2024
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Detecting, explaining, and mitigating memorization in diffusion models
Yuxin Wen, Yuchen Liu, Chen Chen, and Lingjuan Lyu · 2024
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Discovering universal semantic triggers for text-to-image synthesis
Shengfang Zhai, Weilong Wang, Jiajun Li, Yinpeng Dong, Hang Su, and Qingni Shen · 2024
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© plug-in authorization for human content copyright protection in text-to-image model
Chao Zhou, Huishuai Zhang, Jiang Bian, Weiming Zhang, and Nenghai Yu · 2024
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