DOTRAG: Retrieval-Time Reasoning Along Paths
2026-05-20T08:52:17Z•37b8c3f385e3e6e6129410ffc209e5d901bb9093e2ec5b09bf6d7368a94bf633
ALDENGraphRAGPIIRAGactive-learningadversarial-queriesauditabilitycode-releasedata-exfiltrationdistribution-estimationhealthcareknowledge-graphmodel-misusemulti-hop-retrievalprivacyprovenancequery-conditioningretrieval-augmented-generationwearable-data
What happened
This feed contains multiple papers on Retrieval-Augmented Generation (RAG) and GraphRAG advances and one security-focused paper (ALDEN) that materially raises privacy risks. ALDEN demonstrates a practical, high‑efficiency private data extraction attack against RAG systems by combining active learning to diversify malicious queries with a decay-based dynamic algorithm to estimate topic/distribution of the underlying knowledge base — substantially outperforming prior extraction methods. Related papers (DotRAG, STAR, ClusterRAG, Agentic GraphRAG, ClinQueryAgent, WAG, etc.) improve query‑condition
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_ir
- Record identifier
- 37b8c3f385e3e6e6129410ffc209e5d901bb9093e2ec5b09bf6d7368a94bf633
- Enrichment time
- 2026-05-20T08:52:17Z
- AI-assisted enrichment
- Yes
This record may overlap with other records. Its enrichment can be incomplete or wrong, and machine assistance was used. Validate consequential decisions against the linked source and your own environment.