---
title: "Who cites Unveiling Privacy Risks in LLM Agent Memory"
description: "12 papers of the Elamur Research library cite «Unveiling Privacy Risks in LLM Agent Memory», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/wang-2025-unveiling-privacy-risks-llm-agent/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/wang-2025-unveiling-privacy-risks-llm-agent/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Unveiling Privacy Risks in LLM Agent Memory](https://md.research.elamur.ai/free/en/papers/wang-2025-unveiling-privacy-risks-llm-agent/) / cited by

# Who cites «Unveiling Privacy Risks in LLM Agent Memory»

12 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «Unveiling Privacy Risks in LLM Agent Memory»](https://md.research.elamur.ai/free/en/papers/wang-2025-unveiling-privacy-risks-llm-agent/)

1. **[Query-Efficient Agentic Graph Extraction Attacks on GraphRAG Systems](https://md.research.elamur.ai/free/en/papers/yang-2026-query-efficient-agentic-graph-extraction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shuhua Yang, Jiahao Zhang, Yilong Wang, et al.*2026 · 4 citations*
2. **[Rethinking Scale: Deployment Trade-offs of Small Language Models under Agent Paradigms](https://md.research.elamur.ai/free/en/papers/wang-2026-rethinking-scale-deployment-trade-offs/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinlin Wang*2026 · 1 citation*
3. **[Your LLM Agent Can Leak Your Data: Data Exfiltration via Backdoored Tool Use](https://md.research.elamur.ai/free/en/papers/zhang-2026-your-llm-agent-can-leak/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wuyang Zhang, Shichao Pei*2026 · 1 citation*
4. **[Topology Matters: Measuring Memory Leakage in Multi-Agent LLMs](https://md.research.elamur.ai/free/en/papers/liu-2026-topology-matters-measuring-memory-leakage/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jinbo Liu, Defu Cao, Yifei Wei, et al.*2026*
5. **[When Efficiency Becomes a Vulnerability: Computational Cost Attacks on WebAgents](https://md.research.elamur.ai/free/en/papers/ning-2026-when-efficiency-becomes-vulnerability-computational/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Liang-Bo Ning, Yuchen Zhu, Heqing Huang, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/wang-2025-unveiling-privacy-risks-llm-agent/) — Unveiling Privacy Risks in LLM Agent Memory
