Faster FHE-Based Single-Server Private Information Retrieval
Ming Luo, Feng-Hao Liu, Han Wang
摘要
This work introduces KsPIR, a new practically efficient single-server private information retrieval (PIR) system that outperforms the state-of-the-art Spiral (Menon and Wu, S&P 2022) in terms of server response times. We achieve this by proposing novel dimension folding methods, inspired by recent advancements in fully homomorphic encryption. Our methods offer two significant advantages: firstly, they feature simpler designs that eliminate the need for ciphertext expansion steps in Spiral. Secondly, and more importantly, we propose two types of designs that offer distinct advantages - the first type enables preprocessing of the most resource-intensive computation in the offline stage before receiving the query, thereby optimizing online response time; the second type optimizes overall response time without requiring preprocessing in the offline stage, accomplished through a highly optimized baby-step-giant-step matrix-vector homomorphic multiplication.
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- BKPIR: Keyword PIR for Private Boolean RetrievalJie Song, Zhen Xu, Yan Zhang, Pengwei Zhan 等NDSS 2026
- SPIRIT: Batch Hintless Single-Server PIR via Stateful Ciphertext ConversionZhou Zhang, Ran Mao, Zian Zhao, Haowen Pan 等USENIX Security 2026
- IVE: An Accelerator for Single-Server Private Information Retrieval Using Versatile Processing ElementsSangpyo Kim, Hyesung Ji, Jongmin Kim, Wonseok Choi 等HPCA 2026
相关 Paper
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