Privacy in LLM-based Recommendation: Recent Advances and Future Directions
Privacy in LLM-based Recommendation: Recent Advances and Future Directions
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Author / Creator
Luo, Sichun , Shao, Wei , Yao, Yuxuan , Xu, Jian , Liu, Mingyang , Li, Qintong , He, Bowei , Wang, Maolin , Deng, Guanzhi , Hou, Hanxu , Zhang, Xinyi and Song, Linqi
Publisher
Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Nowadays, large language models (LLMs) have been integrated with conventional recommendation models to improve recommendation performance. However, while most of the existing works have focused on improving the model performance, the privacy issue has only received comparatively less attention. In this paper, we review recent advancements in privac...
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Privacy in LLM-based Recommendation: Recent Advances and Future Directions
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TN_cdi_proquest_journals_3064392826
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3064392826
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E-ISSN
2331-8422
