Arx: An Encrypted Database using Semantically Secure Encryption
Summary: Arx: encrypted DB using semantically secure encryption; avoids leakage by relying on strong schemes. Demonstrates real-world applicability with ShareLaTeX and modest performance overhead. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Rishabh Poddar
- 2. Tobias Boelter
- 3. Raluca Ada Popa
Incoming Citations (Sorted by Pagerank)
Showing 16 of 16 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 324 | Order Preserving Encryption for Numeric Data | 2004 | SIGMOD | 0.00027444645 |
| 459 | Processing Analytical Queries over Encrypted Data | 2013 | VLDB | 0.00022627746 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,526 | SecuDB: An In-enclave Privacy-preserving and Tamper-resistant Relational Database | 2024 | VLDB | 4.4937074e-05 |
| 6,424 | Range Search over Encrypted Multi-Attribute Data | 2023 | VLDB | 5.0670573e-05 |
| 10,312 | A Workload-Aware Encrypted Index for Efficient Privacy-Preserving Range Queries | 2026 | VLDB | 4.1945683e-05 |
| 8,297 | Adaptive Indexing over Encrypted Numeric Data | 2016 | SIGMOD | 4.5435639e-05 |
| 8,539 | Efficient Searchable Encryption Through Compression | 2018 | VLDB | 4.4937074e-05 |
| 2,087 | Answering Aggregation Queries in a Secure System Model | 2007 | VLDB | 9.5732194e-05 |
| 8,667 | Encrypted Databases: From Theory to Systems | 2021 | CIDR | 4.4718453e-05 |
| 6,962 | Efficient Secure Query Evaluation over Encrypted XML Databases | 2006 | VLDB | 4.883323e-05 |
| 5,302 | Secure Query Processing with Data Interoperability in a Cloud Database Environment | 2014 | SIGMOD | 5.5786331e-05 |
| 324 | Order Preserving Encryption for Numeric Data | 2004 | SIGMOD | 0.00027444645 |