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Numerous companies have started offering services based on large language models (LLM), such as ChatGPT, which inevitably raises privacy concerns as users' prompts are exposed to the model provider.
Ctrl: A conditional transformer language model for controllable generation
Keskar, N. S.; McCann, B.; Varshney, L. R.; Xiong, C.; and Socher, R. 2019 · 1909
Earlier work this paper cites.
Protocols for secure computations
Yao, A. C.-C. 1982 · 1982
Earlier work this paper cites.
Protecting Privacy when Disclosing Information: k-Anonymity and Its Enforcement through Generalization and Suppression
Samarati, P.; and Sweeney, L. 1998 · 1998
Earlier work this paper cites.
Calibrating Noise to Sensitivity in Private Data Analysis
Dwork, C.; McSherry, F.; Nissim, K.; and Smith, A. 2006 · 2006
Cited alongside, same era.
A fully homomorphic encryption scheme
Gentry, C. 2012 · 2012
Cited alongside, same era.
Communication-Efficient Learning of Deep Networks from Decentralized Data
McMahan, H. B.; Moore, E.; Ramage, D.; Hampson, S.; and y Arcas, B. A. 2016 · 2016
Cited alongside, same era.
Decoupled Weight Decay Regularization
Loshchilov, I.; and Hutter, F. 2018 · 2018
Later among the works it cites.
Crosslingual generalization through multitask finetuning
Muennighoff, N.; Wang, T.; Sutawika, L.; Roberts, A.; Biderman, S.; Scao, T. L.; Bari, M. S.; Shen, S.; Yong, Z.-X.; Schoelkopf, H.; et al. 2022 · 2022
Later among the works it cites.
Qlora: Efficient finetuning of quantized llms
Dettmers, T.; Pagnoni, A.; Holtzman, A.; and Zettlemoyer, L. 2023 · 2023
Closest in time.
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