LETIndex: A Secure Learned Index with TEE
Summary: LETIndex: a learned index for TEE-protected databases that organizes PGM models in an LSM layout and uses adaptive prefetch to cut enclave transitions and disk I/O. Enables lookups, range queries, and updates with far fewer context switches than REE-buffer/parameter-tuning baselines; outperforms on SOSD and improves join workloads. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Shuting Cao
- 2. Zeping Niu
- 3. Guoliang Li
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 102 | The Case for Learned Index Structures | 2018 | SIGMOD | 0.00049545203 |
| 857 | The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds | 2020 | VLDB | 0.00015882892 |
| 1,460 | Benchmarking Learned Indexes | 2021 | VLDB | 0.00011887068 |
| 4,049 | Building Enclave-Native Storage Engines for Practical Encrypted Databases | 2021 | VLDB | 6.4955754e-05 |
| 5,074 | Learned Index: A Comprehensive Experimental Evaluation | 2023 | VLDB | 5.7175726e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,746 | Why Are Learned Indexes So Effective but Sometimes Ineffective? | 2025 | VLDB | 4.2897489e-05 |
| 2,552 | Updatable Learned Index with Precise Positions | 2021 | VLDB | 8.5530411e-05 |
| 10,312 | A Workload-Aware Encrypted Index for Efficient Privacy-Preserving Range Queries | 2026 | VLDB | 4.1945683e-05 |
| 10,087 | High Performance or Low Memory? An Updatable Learned Index Framework for Time-Space Tradeoff | 2026 | SIGMOD | 4.1945683e-05 |
| 826 | ALEX: An Updatable Adaptive Learned Index | 2020 | SIGMOD | 0.00016224841 |
| 8,811 | Tuning Hierarchical Learned Indexes on Disk and Beyond | 2022 | SIGMOD | 4.4441574e-05 |
| 7,390 | Making In-Memory Learned Indexes Efficient on Disk | 2024 | SIGMOD | 4.7431654e-05 |
| 6,445 | Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices | 2023 | SIGMOD | 5.0589805e-05 |
| 1,460 | Benchmarking Learned Indexes | 2021 | VLDB | 0.00011887068 |
| 5,074 | Learned Index: A Comprehensive Experimental Evaluation | 2023 | VLDB | 5.7175726e-05 |