---
title: "Who cites Privacy Issues in Large Language Models: A Survey"
description: "22 papers of the Elamur Research library cite «Privacy Issues in Large Language Models: A Survey», found in their bibliographies; the most…"
canonical: "https://research.elamur.ai/free/en/papers/neel-2023-privacy-issues-large-language-models/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/neel-2023-privacy-issues-large-language-models/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Privacy Issues in Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/neel-2023-privacy-issues-large-language-models/) / cited by

# Who cites «Privacy Issues in Large Language Models: A Survey»

22 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · [← back to «Privacy Issues in Large Language Models: A Survey»](https://md.research.elamur.ai/free/en/papers/neel-2023-privacy-issues-large-language-models/)

1. **[Security and Privacy Challenges of Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/das-2024-security-privacy-challenges-large-language/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu*2024 · 424 citations*
2. [**TrustLLM: Trustworthiness in Large Language Models arXiv:2401.05561**Yue Huang, Lichao Sun, Haoran Wang, et al.*2024 · 237 citations*](https://md.research.elamur.ai/free/en/papers/huang-2024-trustllm-trustworthiness-large-language-models/)
3. **[OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use](https://md.research.elamur.ai/free/en/papers/hu-2025-os-agents-survey-mllm-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xueyu Hu, Tao Xiong, Biao Yi, et al.*2025 · 17 citations*
4. [**RKLD: Reverse KL-Divergence-based Knowledge Distillation for Unlearning Personal Information in Large Language Models arXiv:2406.01983**Bichen Wang, Yuzhe Zi, Yixin Sun, et al.*2024 · 12 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-rkld-reverse-kl-divergence-based/)
5. **[IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization](https://md.research.elamur.ai/free/en/papers/frikha-2025-incognitext-privacy-enhancing-conditional-text/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**Ahmed Frikha, Nassim Walha, Krishna Kanth Nakka, et al.*2025 · 10 citations*
6. **[Towards Privacy-Preserving Large Language Model: Text-free Inference Through Alignment and Adaptation](https://md.research.elamur.ai/free/en/papers/yoon-2026-privacy-preserving-large-language-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jeongho Yoon, Chanhee Park, Yongchan Chun, et al.*2026*

16 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/neel-2023-privacy-issues-large-language-models/) — Privacy Issues in Large Language Models: A Survey