Verifiable PIR with Small Client Storage
Mayank Rathee, Keewoo Lee, Raluca Ada Popa
Abstract
Efficient Verifiable Private Information Retrieval (vPIR) protocols, and more generally Verifiable Linearly Homomorphic Encryption (vLHE), suffer from high client storage. VeriSimplePIR (USENIX Security 2024), the state-of-theart vPIR protocol, requires clients to persistently maintain over 1 GiB of local storage to privately access an 8 GiB remote database. We present a new vPIR protocol that reduces the client state by orders of magnitude while preserving online latency. In our protocol, clients only need to store 512 KiB for an 8 GiB database, achieving a improvement. Our vPIR protocol is built over our new vLHE scheme. Unlike VeriSimplePIR, our scheme doesn't use random oracles and relies only on standard lattice assumptions - (R)LWE and SIS. These improvements come at a cost in server throughput over VeriSimplePIR. Despite this throughput overhead, we achieve a comparable online latency to VeriSimplePIR by implementing several optimizations including query-level preprocessing. We also introduce the notion of covert vPIR (cvPIR), where stateful clients enjoy full vPIR security, while even stateless clients benefit from covert security against a malicious server.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Related papers
- VeriSimplePIR: Verifiability in SimplePIR at No Online Cost for Honest ServersLeo de Castro, Keewoo LeeUSENIX Security 2024 · 18 citations
- Single-Server Stateful PIR with Verifiability and Balanced EfficiencyPranav Shriram Arunachalaramanan, Ling RenS&P 2026
- Hintless Single-Server Private Information RetrievalBaiyu Li, Daniele Micciancio, Mariana Raykova, Mark SchultzCRYPTO 2024 · 23 citations
- Vectorized Batch Private Information RetrievalMuhammad Haris Mughees, Ling RenS&P 2023
- OnionPIR: Response Efficient Single-Server PIRMuhammad Haris Mughees, Hao Chen, Ling RenCCS 2021 · 1 citation
