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Private set intersection (PSI) enables two parties to jointly compute the intersection of their private sets without revealing any extra information to each other. In this work, we focus on the unbalanced setting where one party (a powerful server) holds a significantly larger set than the other party (a resource-limited client). We present a new protocol for this setting that achieves a better balance between low client-side storage and efficient online processing. We first formalize a general framework to transform Private Information Retrieval (PIR) into PSI with techniques used in prior works. Building upon recent advancements in Private Information Retrieval (PIR), specifically the SimplePIR construction (Henzinger et al., USENIX Security'23), combined with our tailored techniques, our construction shows a great improvement in online efficiency. Concretely, when the client holds a single element, our protocol achieves more than 100x faster computation and over 4x lower communication compared to the state-of-the-art unbalanced PSI based on leveled fully homomorphic encryption (Chen et al., CCS'21). The client-side storage is only in the order of tens of megabytes, even for a gigabyte-sized set on the server. Moreover, since the framework is generic, any future improvement in PIR can further improve our construction.more » « lessFree, publicly-accessible full text available April 8, 2026
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Andoni, Alexandr; Lin, CHengyu; Sheng, Ying; Zhong, Peilin (, International Conference on Machine Learning)
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