EncChain: Enhancing Large Language Model Applications with Advanced Privacy Preservation Techniques
Summary: EncChain provides an end-to-end confidentiality stack for LLM applications: encrypted KB and interaction storage, confidential KB loading, similarity search, prompt generation, and model inference executed inside attested secure enclaves. Includes fine-grained role-based access control and a Python SDK for practical integration. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Zhe Fu
- 2. Mo Sha
- 3. Yiran Li
- 4. Huorong Li
- 5. Yubing Ma
- 6. Sheng Wang
- 7. Feifei Li
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,718 | Operon: An Encrypted Database for Ownership-Preserving Data Management | 2022 | VLDB | 4.9505599e-05 |
| 11,221 | TEE-based General-purpose Computational Backend for Secure Delegated Data Processing | 2023 | SIGMOD | 4.1945683e-05 |
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