We construct a sublinear-time single-server preprocessing Private Information Retrieval (PIR) scheme with an optimal tradeoff between client storage and server computation (up to …
Imagine one or more non-colluding servers each holding a large public database, eg, the repository of DNS entries. Clients would like to access entries in this database without …
We construct a single-server pre-processing Private Information Retrieval (PIR) scheme with optimal bandwidth and server computation (up to poly-logarithmic factors), assuming …
Private information retrieval (PIR) enables clients to query and retrieve data from untrusted servers without the untrusted servers learning which data was retrieved. In this paper, we …
Q Tong, X Li, Y Miao, Y Wang, X Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Boolean range query (BRQ) is a typical type of spatial keyword query that is widely used in geographic information systems, location-based services and other applications. It retrieves …
P Wu, J Ning, J Shen, H Wang, EC Chang - NDSS, 2022 - ndss-symposium.org
Trusted execution environment (TEE) such as Intel SGX relies on hardware protection and can perform secure multi-party computation (MPC) much more efficiently than pure software …
We describe the design, analysis, implementation, and evaluation of PIRSONA, a digital content delivery system that realizes collaborative-filtering recommendations atop private …
S Sasy, A Vadapalli, I Goldberg - Cryptology ePrint Archive, 2023 - eprint.iacr.org
Abstract We present Private Random Access Computations (PRAC), a 3-party Secure Multi- Party Computation (MPC) framework to support random-access data structure algorithms for …
SM Hafiz, C Gupta, W Wnuck, B Vora… - arXiv preprint arXiv …, 2024 - arxiv.org
Private information retrieval (PIR), a privacy-preserving cryptographic tool, solves a simplified version of this problem by hiding the database item that a client accesses. Most …