Privacy in LLM-based Recommendation: Recent Advances and Future Directions
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arXiv
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| Hauptverfasser: | , , , , , , , , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866914820983357440 |
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| author | Luo, Sichun Shao, Wei Yao, Yuxuan Xu, Jian Liu, Mingyang Li, Qintong He, Bowei Wang, Maolin Deng, Guanzhi Hou, Hanxu Zhang, Xinyi Song, Linqi |
| author_facet | Luo, Sichun Shao, Wei Yao, Yuxuan Xu, Jian Liu, Mingyang Li, Qintong He, Bowei Wang, Maolin Deng, Guanzhi Hou, Hanxu Zhang, Xinyi Song, Linqi |
| contents | 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 privacy within LLM-based recommendation, categorizing them into privacy attacks and protection mechanisms. Additionally, we highlight several challenges and propose future directions for the community to address these critical problems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_01363 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Privacy in LLM-based Recommendation: Recent Advances and Future Directions Luo, Sichun Shao, Wei Yao, Yuxuan Xu, Jian Liu, Mingyang Li, Qintong He, Bowei Wang, Maolin Deng, Guanzhi Hou, Hanxu Zhang, Xinyi Song, Linqi Computation and Language Information Retrieval 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 privacy within LLM-based recommendation, categorizing them into privacy attacks and protection mechanisms. Additionally, we highlight several challenges and propose future directions for the community to address these critical problems. |
| title | Privacy in LLM-based Recommendation: Recent Advances and Future Directions |
| topic | Computation and Language Information Retrieval |
| url | https://arxiv.org/abs/2406.01363 |