Private Aggregate Queries to Untrusted Databases with information-theoretic (or perfect) private information retrieval (IT-PIR) security guarantee.

The corresponding paper has been accepted at NDSS 2024. The codes of the "aggregate_queries" folder are related to this paper. Detailed Instructions to reproduce the benchmarking and case studies results are available at: https://github.com/smhafiz/private_queries_it_pir/blob/master/AE_Doc_Revised.pdf.

The codes of the "private_queries" folder are related to the ACM CCS 2017 paper: Querying for queries: Indexes of queries for efficient and expressive IT-PIR. Citation: Hafiz, Syed Mahbub, and Ryan Henry. "Querying for queries: Indexes of queries for efficient and expressive IT-PIR." In Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, pp. 1361-1373. 2017.

The license of the repository: https://github.com/smhafiz/private_queries_it_pir/blob/main/LICENSE