arXiv (OAI Expanded)
open access
A Wolf in Sheep's Clothing: Targeted Routing Hijacking in Federated RAG
Federated Retrieval-Augmented Generation (FedRAG) is attractive for privacy-sensitive applications because full local corpora remain on clients. As a result, routing must rely on client-provided semantic profiles, creating a new opportunity for manipulation. We introduce Routing Hijacking, a routing
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
- A Wolf in Sheep's Clothing: Targeted Routing Hijacking in Federated RAG#785174
- Privacy-Preserving RAG by Concealing Sensitive Information from External LLMs#973310
- Turning Privacy-preserving Mechanisms against Federated Learning#177333
- Tokenized Key-Gated Adapter Routing: A Secure Access Control Mechanism Against Private Data Leakage in LLMs#1154932
- SEEK: Secure and Efficient Encrypted Keyword Search For Privacy-Preserving Messaging Protocols#1012643
Record · ID 783584
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