---
title: "Who cites MEraser: An Effective Fingerprint — 10 citing papers"
description: "10 papers of the Elamur Research library cite «MEraser: An Effective Fingerprint Erasure Approach for Large Language Models», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/zhang-2025-meraser-effective-fingerprint-erasure-approach/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [MEraser: An Effective Fingerprint Erasure…](https://md.research.elamur.ai/free/en/papers/zhang-2025-meraser-effective-fingerprint-erasure-approach/) / cited by

# Who cites «MEraser: An Effective Fingerprint Erasure Approach for Large Language Models»

10 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «MEraser: An Effective Fingerprint Erasure Approach for Large Language Models»](https://md.research.elamur.ai/free/en/papers/zhang-2025-meraser-effective-fingerprint-erasure-approach/)

1. **[CTCC: A Robust and Stealthy Fingerprinting Framework for Large Language Models via Cross-Turn Contextual Correlation Backdoor](https://md.research.elamur.ai/free/en/papers/xu-2025-ctcc-robust-stealthy-fingerprinting-framework/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhenhua Xu, Xixiang Zhao, Xubin Yue, et al.*2025 · 4 citations*
2. **[MCP-Guard: A Multi-Stage Defense-in-Depth Framework for Securing Model Context Protocol in Agentic AI](https://md.research.elamur.ai/free/en/papers/xing-2026-mcp-guard-multi-stage-defense/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenpeng Xing, Zhonghao Qi, Yupeng Qin, et al.*2026 · 1 citation*
3. **[ImF: Embedding an Implicit Fingerprint in Your Large Language Models](https://md.research.elamur.ai/free/en/papers/wu-2026-imf-embedding-implicit-fingerprint-your/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiaxuan Wu, Wanli Peng, Hang fu, et al.*2026*
4. **[UMMF: Protecting Copyright of Large Vision-Language Models through Unlearning-based Multimodal Memorization Fingerprint](https://md.research.elamur.ai/free/en/papers/zheng-2026-ummf-protecting-copyright-large-vision/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaofan Zheng, Xinghao Wang, Xiaojun Wan*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/zhang-2025-meraser-effective-fingerprint-erasure-approach/) — MEraser: An Effective Fingerprint Erasure Approach for Large Language Models