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S&P2026Top-tier venue

Verifiable PIR with Small Client Storage

Mayank Rathee, Keewoo Lee, Raluca Ada Popa

2026Year

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 2000×2000 \times 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 2.5×2.5 \times 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.

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