PIRANA: Faster Multi-query PIR via Constant-weight Codes
Jian Liu, Jingyu Li, Di Wu, Kui Ren
摘要
Private information retrieval (PIR) is a cryptographic protocol that enables a wide range of privacy-preserving applications. Despite being extensively studied for decades, it is still not efficient enough to be used in practice. In this paper, we propose a novel PIR protocol named PIRANA, based on the recent advances in constant-weight codes. It is up to 188.6× faster than the original constant-weight PIR (presented in Usenix SEC ’22). Most importantly, PIRANA naturally supports multi-query. It allows a client to retrieve a batch of elements from the server with a very small extra-cost compared to retrieving a single element, which results in up to an 14.4× speedup over the state-of-the-art multi-query PIR (presented in Oakland ’23). We also discuss a way to extend PIRANA to labeled private set intersection (LPSI). Compared with existing LPSI protocols, PIRANA is more friendly to the scenarios where the database updates frequently.
问问这篇 Paper
问问你的智能体。
Lune 读过与它相关的顶会 Paper,每个回答都会注明依据哪几篇。
引用它的顶会 Paper16
- Unbalanced Circuit-PSI from Oblivious Key-Value RetrievalMeng Hao, Weiran Liu, Liqiang Peng, Hongwei Li 等USENIX Security 2024 · 被引用 14 次
- Respire: High-Rate PIR for Databases with Small RecordsAlexander Burton, Samir Jordan Menon, David J. WuCCS 2024 · 被引用 3 次
- Sort, Sweep, Mirror: Batch Private Interval Lookup with Logarithmic CostAndes Y. L. Kei, Lucien K. L. Ng, Jack P. K. Ma, Sherman S. M. ChowS&P 2026 · 被引用 2 次
- TreePIR: Efficient Private Retrieval of Merkle Proofs via Tree Colorings with Fast Indexing and Zero Storage OverheadQuang Cao, Son Hoang Dau, Rinaldo Gagiano, Duy Huynh 等S&P 2025
- BKPIR: Keyword PIR for Private Boolean RetrievalJie Song, Zhen Xu, Yan Zhang, Pengwei Zhan 等NDSS 2026
相关 Paper
- Constant-weight PIR: Single-round Keyword PIR via Constant-weight Equality OperatorsRasoul Akhavan Mahdavi, Florian KerschbaumUSENIX Security 2022
- PIR with Compressed Queries and Amortized Query ProcessingSebastian Angel, Hao Chen, Kim Laine, Srinath T. V. SettyS&P 2018 · 被引用 353 次
- Vectorized Batch Private Information RetrievalMuhammad Haris Mughees, Ling RenS&P 2023
- Single Pass Client-Preprocessing Private Information RetrievalArthur Lazzaretti, Charalampos PapamanthouUSENIX Security 2024 · 被引用 11 次
- Batched Differentially Private Information RetrievalKinan Dak Albab, Rawane Issa, Mayank Varia, Kalman GraffiUSENIX Security 2022
