GraphOS: Towards Oblivious Graph Processing
Summary: GraphOS outsources graphs to untrusted servers using doubly‑oblivious storage inside trusted enclaves, leaking only |V|, |E| and each query's type and response size. It presents Omix++ (a doubly‑oblivious map, up to 34× faster) and fixed‑trace BFS/DFS/MST/SSSP to prevent memory and instruction‑fetch leakage, yielding up to two orders‑of‑magnitude speedup vs oblivious RDBMS and eliminating topology leakage. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,367 | Aster: Enhancing LSM-structures for Scalable Graph Database | 2025 | SIGMOD | 4.1945683e-05 |
| 10,672 | Sectric: Towards Accurate, Privacy-preserving and Efficient Triangle Counting | 2025 | VLDB | 4.1945683e-05 |
| 10,689 | GORAM: Graph-oriented ORAM for Efficient Ego-centric Queries on Federated Graphs | 2025 | VLDB | 4.1945683e-05 |
| 10,869 | Towards Practical Oblivious Map | 2025 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 10,746 | OasisDB: An Oblivious and Scalable System for Relational Data | 2025 | VLDB | 4.1945683e-05 |
| 8,396 | Optimizing Declarative Graph Queries at Large Scale | 2019 | SIGMOD | 4.5276541e-05 |
| 4,012 | Columnar Storage and List-based Processing for Graph Database Management Systems | 2021 | VLDB | 6.5335884e-05 |
| 3,143 | Extracting and Analyzing Hidden Graphs from Relational Databases | 2017 | SIGMOD | 7.4804326e-05 |
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| 11,548 | Parallel Traversal of Graphs Stored in RDBMSs | 2020 | CIDR | 4.1945683e-05 |
| 4,940 | Privacy Preserving Subgraph Matching on Large Graphs in Cloud | 2016 | SIGMOD | 5.8180285e-05 |
| 8,490 | A Framework for Privacy Preserving Localized Graph Pattern Query Processing | 2023 | SIGMOD | 4.499438e-05 |
| 2,670 | Efficient Oblivious Database Joins | 2020 | VLDB | 8.3379158e-05 |
| 10,869 | Towards Practical Oblivious Map | 2025 | VLDB | 4.1945683e-05 |