arXiv (All)
open access
From Construction to Injection: Edit-Based Fingerprints for Large Language Models
Reliable model fingerprints are essential for protecting large language models (LLMs) against unauthorized redistribution and commercial misuse. In black-box deployment, verification is hindered by defensive filtering of suspected fingerprint queries, as well as by downstream model modifications tha
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- From Bits to Beliefs: Recoverable Semantic Fingerprints for Black-Box Verification of Large Language Models#1050270
- From Bits to Beliefs: Recoverable Semantic Fingerprints for Black-Box Verification of Large Language Models#1028600
- SRAF: Stealthy and Robust Adversarial Fingerprint for Copyright Verification of Large Language Models#1035290
- In RAG We Trust? Measuring Robustness of Retrieval-Augmented Generation Under Document Poisoning#987009
- Towards Privacy-Preserving Large Language Model: Text-free Inference Through Alignment and Adaptation#985042
Record · ID 1143620
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive