OnionPIR: Response Efficient Single-Server PIR
Muhammad Haris Mughees, Hao Chen, Ling Ren
Abstract
This paper presents OnionPIR and stateful OnionPIR, two single-server PIR schemes that significantly improve the response size and computation cost over state-of-the-art schemes. OnionPIR scheme utilizes recent advances in somewhat homomorphic encryption (SHE) and carefully composes two lattice-based SHE schemes and homomorphic operations to control the noise growth and response size. Stateful OnionPIR uses a technique based on the homomorphic evaluation of copy networks. OnionPIR achieves a response overhead of just 4.2x over the insecure baseline, in contrast to the 100x response overhead of state-of-the-art schemes. Our stateful OnionPIR scheme improves upon the recent stateful PIR framework of Patel et al. and drastically reduces its response overhead by avoiding downloading the entire database in the offline stage. Compared to stateless OnionPIR, Stateful OnionPIR reduces the computation cost by 1.8 x for different database sizes.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext aa789d95-ea71-4e48-b1e9-84b254fdcdf3Cited by top-tier papers28
- Single-Server Private Information Retrieval with Sublinear Amortized TimeHenry Corrigan-Gibbs, Alexandra Henzinger, Dmitry KoganEUROCRYPT 2022 · 64 citations
- Private Approximate Nearest Neighbor Search with Sublinear CommunicationSacha Servan-Schreiber, Simon Langowski, Srinivas DevadasS&P 2022 · 37 citations
- YPIR: High-Throughput Single-Server PIR with Silent PreprocessingSamir Jordan Menon, David J. WuUSENIX Security 2024 · 34 citations
- Private Web Search with TiptoeAlexandra Henzinger, Emma Dauterman, Henry Corrigan-Gibbs, Nickolai ZeldovichSOSP 2023 · 25 citations
- Batch PIR and Labeled PSI with Oblivious Ciphertext CompressionAlexander Bienstock, Sarvar Patel, Joon Young Seo, Kevin YeoUSENIX Security 2024 · 16 citations
Builds on7
- PIR with Compressed Queries and Amortized Query ProcessingSebastian Angel, Hao Chen, Kim Laine, Srinath T. V. SettyS&P 2018 · 353 citations
- Communication-Computation Trade-offs in PIRAsra Ali, Tancrède Lepoint, Sarvar Patel, Mariana Raykova et al.USENIX Security 2021 · 126 citations
- Private Information Retrieval with Sublinear Online TimeHenry Corrigan-Gibbs, Dmitry KoganEUROCRYPT 2020 · 105 citations
- A Protocol for Privately Reporting Ad Impressions at ScaleMatthew Green, Watson Ladd, Ian MiersCCS 2016 · 78 citations
- Private Stateful Information RetrievalSarvar Patel, Giuseppe Persiano, Kevin YeoCCS 2018 · 76 citations
Related papers
- Respire: High-Rate PIR for Databases with Small RecordsAlexander Burton, Samir Jordan Menon, David J. WuCCS 2024 · 3 citations
- Verifiable PIR with Small Client StorageMayank Rathee, Keewoo Lee, Raluca Ada PopaS&P 2026
- SPIRAL: Fast, High-Rate Single-Server PIR via FHE CompositionSamir Jordan Menon, David J. WuS&P 2022 · 153 citations
- Faster FHE-Based Single-Server Private Information RetrievalMing Luo, Feng-Hao Liu, Han WangCCS 2024 · 4 citations
- InsPIRe: Communication-Efficient PIR with Server-Side PreprocessingRasoul Akhavan Mahdavi, Sarvar Patel, Joon Young Seo, Kevin YeoS&P 2026 · 5 citations
