The Capacity of Symmetric Private Information Retrieval
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Abstract (arXiv)
Private information retrieval (PIR) is the problem of retrieving as efficiently as possible, one out of K messages from N non-communicating replicated databases (each holds all K messages) while keeping the identity of the desired message index a secret from each individual database. Symmetric PIR (SPIR) is a generalization of PIR to include the requirement that beyond the desired message, the user learns nothing about the other K-1 messages. The information theoretic capacity of SPIR (equivalently, the reciprocal of minimum download cost) is the maximum number of bits of desired information that can be privately retrieved per bit of downloaded information. We show that the capacity of SPIR is 1-1/N regardless of the number of messages K, if the databases have access to common randomness (not available to the user) that is independent of the messages, in the amount that is at least 1/(N-1) bits per desired message bit, and zero otherwise. Extensions to the capacity region of SPIR and the capacity of finite length SPIR are provided.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 Jun 2016.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 0; 2024: 2; 2025: 1.
5 papers.
- 2021Information Theoretic Secure Aggregation with User Dropoutscited by 19
- 2024Private Counterfactual Retrievalcited by 2
- 2022Private Federated Submodel Learning with Sparsificationcited by 0
- 2024Private Counterfactual Retrieval With Immutable Featurescited by 0
- 2025What If, But Privately: Private Counterfactual Retrievalcited by 0
- 2025What If, But Privately: Private Counterfactual Retrieval5 Aug 2025
- 2024Private Counterfactual Retrieval With Immutable Features15 Nov 2024
- 2024Private Counterfactual Retrieval17 Oct 2024
- 2022Private Federated Submodel Learning with Sparsification31 May 2022
- 2021Information Theoretic Secure Aggregation with User Dropouts19 Jan 2021